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RAMESH RASKAR: And has
done just terrific,

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terrific amount of work.

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He was also [INAUDIBLE]
program manager

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where he led the
effort that we have

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studied in the class,
the origami lens

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and many interesting projects.

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So here, today's going
to work on something

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that hopefully get us thinking.

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It's just at the right time.

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It's the middle of a
semester, and we have

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learned about a lot of ideas.

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And all of us enjoy
talking to Ravi

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about where the field
is going and how

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we can classify and
understand the field itself

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of computational imaging and
computational camera better.

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So looking forward to it.

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RAVI ATHALE: Thank you.

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Thanks, Ramesh.

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It's a pleasure to come here
and talk about this thing

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that all of us love so much--

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cameras.

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And this, I worked a lot
on this type of camera,

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as we cannot picture.

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So anyway, I sent the slides
to Ramesh ahead of time

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to make sure.

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I didn't know how to
calibrate where to go,

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but he said that these
slides are just perfect,

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so I trust his judgment.

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And I wanted not just
the seminar or lecture,

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but a lot more interactive.

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So we can go through
some of these

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very quickly if I
see from your faces

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that, why is he telling us
these things, but be as it may.

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So history of camera--

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I think this was meant more for
general audience, so I really

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focused a lot on
history and how we

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are at a dramatic breakpoint,
how that breakpoint is

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likely to impact the future,
and things like that.

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So interesting
historical milestones

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that you may or may not
have covered in the class.

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Let's go with that.

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But this is one
thing, of course,

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now, if you need to
be told about this,

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you all are carrying cameras.

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If you lived in
London, you probably

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got photographed about 30 to 40
times during a typical workday

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as you stepped outside,
and all these things.

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I just wanted to point out to--

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I don't know how many of you
will know what that image is.

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In order to know
what that image is,

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you need to focus on the
date, April 19, 1995.

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That date has a
special significance.

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It was the Oklahoma City
bombing, and this is the truck.

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This is the Ryder truck
that carried the bomb.

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And this is a picture
from a security camera

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in the bank across the street.

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And this image has been
used by many, many people

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to justify the work on
high dynamic imaging.

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Everything inside is
completely underexposed.

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Everything outside is
completely overexposed.

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As a result, this image, by
itself, is pretty much useless.

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So things come in two sizes--
too big and too small.

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Similarly, this is the tape.

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This is a very
interesting thing,

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and I also had another
image of, somewhere in Iraq,

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an IED going off and blowing
up, and some person holding

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the cell phone.

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And so I'm sure you're aware
that, over the last few years,

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any significant news [INAUDIBLE]
that happened in most places

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around the world, the first
reports and the first images

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to come out of that
were cell phone cameras.

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So everybody is a reporter.

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So anyway, one of the
interesting things

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is this business about
natural observation,

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gaps in the leaves
projecting images

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of a partial solar eclipse.

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So our ancestors must
have observed these things

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and said something is going on.

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So exactly what is going on,
and how can we replicate it?

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How can we understand
what's going on over there?

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This is another very
beautiful photograph.

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I'm sure you have see
waterdrop acting as a lens,

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forming the image.

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So just before there
was any technology,

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before there was even a formal
modern scientific process,

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our ancestors, a couple of
thousand years ago, since they

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didn't have the distractions
of cable TV and cell phones

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and all that, they
had a lot of time

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to really very carefully
observe nature and observe it

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over a long period of time
from many different angles.

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So as an outcome of
this was the observation

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of pinhole images going
back several thousand years,

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and I believe--

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at least I understand
that this was

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the first comprehensive
study on optics, Alhazen.

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And this is the drawing
of a pinhole camera.

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I think, Ramesh, you
have probably told them

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about the origin of the word--

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RAMESH RASKAR: I have not.

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Go ahead.

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RAVI ATHALE: You have?

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RAMESH RASKAR: I have not.

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RAVI ATHALE: Oh, you have not?

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Camera, the literal
meaning of the word,

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is room because the first camera
was indeed a room with a hole

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there, and the image projected
back there, so you can trace it

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or something like that.

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Now, what is interesting is,
fast forward 1,000 years,

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and the world's
largest pinhole camera

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was constructed in July 2006.

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The El Toro Marine Corps
Air Station in Irvine

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was decommissioned.

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They wanted to preserve it, so
they took an airplane hangar,

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closed the door,
and drilled a hole

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the size of [INAUDIBLE]
tennis ball or something.

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And on the backside,
had a photographic film

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eight stories tall and 1/3 the
length of a football field.

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And here it is.

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This is the image of the
base upside down projected

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on the back wall.

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This is this the
photographic emulsion,

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and there were a
lot of numbers as

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to how many gallons
of developer solution

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they needed and basically
throw it over a barrel

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and take a broom and spread
it over and develop it.

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And I don't know where
that image is now.

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I think it is in
California, some art museum

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somewhere in Los Angeles.

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The point of that
is, over 1,000 years,

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and exactly the same
operating principle.

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It's just a room, except
a much, much larger room,

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and taking a picture of
a much, much larger area.

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STUDENT: Right, you do
make a good point there.

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They also [INAUDIBLE]
how much time

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they had to spend to
make the [INAUDIBLE]..

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RAMESH RASKAR: Yes, indeed.

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RAVI ATHALE: The first optical
instrument are spectacles,

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and I think that
really, the point--

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this is an interesting point.

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Spectacles are glasses.

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It really is a mechanical
packaging solution.

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So people realize that having
these specifically shaped

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lenses improves your vision,
but how do you do that?

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How do you make it
convenient for you to wear?

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So people realize
you have two years,

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and they're shaped
in this manner.

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And there is the bridge of
the nose, so 3 point support

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like this.

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Of course, then there
were all the elaborations

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of the [INAUDIBLE]
glasses sitting

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or the monocle that you
can screw into your eye.

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But this is basically--

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1270 is the-- taking
these optical phenomena

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and constructing a useful
instrument that can

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be portable, and that is used.

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Beyond that, almost a 300
year gap between a single lens

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optical instrument and a
compound optical instrument--

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microscope and then
telescope and everything.

00:07:55.120 --> 00:07:57.930 align:middle line:84%
You might have known this
the 400th anniversary

00:07:57.930 --> 00:08:01.770 align:middle line:84%
of the Galilean
telescope revolution,

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and this is the diagram
[INAUDIBLE] multiple lenses.

00:08:07.890 --> 00:08:13.200 align:middle line:84%
So going forward, the next
history is photography.

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This is the first photograph
ever by Niepce, 1827,

00:08:19.470 --> 00:08:24.330 align:middle line:84%
and it's basically the
[INAUDIBLE] sensitive media

00:08:24.330 --> 00:08:26.940 align:middle line:84%
in various forms,
and it just evolved.

00:08:26.940 --> 00:08:31.440 align:middle line:84%
One of the big milestone
was this sort of glass.

00:08:31.440 --> 00:08:34.909 align:middle line:84%
It was coated in a paper
and rolled in other things.

00:08:34.909 --> 00:08:38.340 align:middle line:90%
So there's another tidbit--

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Eastman Kodak.

00:08:40.169 --> 00:08:43.500 align:middle line:90%
What does Kodak mean?

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Anybody knows?

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Eastman wanted a word that
was a very crisp word,

00:08:50.700 --> 00:08:55.620 align:middle line:84%
and that was very positive,
forward-leaning kind of a word.

00:08:55.620 --> 00:08:59.970 align:middle line:84%
And so apparently,
Kodak is the sound

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that the shutter made
when you push the button.

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[STUDENTS LAUGHING]

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So it was not George Eastman
and his colleague Kodak Eastman

00:09:06.960 --> 00:09:08.520 align:middle line:90%
Kodak was named after.

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But the slogan was, you push
the button, and we do the rest.

00:09:11.440 --> 00:09:14.100 align:middle line:90%
And I think $1 Brownie camera--

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if you put it in
historical context,

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that was around
the same time when

00:09:18.300 --> 00:09:22.140 align:middle line:84%
Model-T, maybe a few years
earlier, 10, 15 years earlier.

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But it's taking essentially
really high technology

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and using some innovation
to bring it down to masses,

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so everybody can use it.

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So you can say that Model-T
and the Brownie camera

00:09:37.500 --> 00:09:42.000 align:middle line:84%
was the first age of modern
consumer technological culture.

00:09:42.000 --> 00:09:45.000 align:middle line:90%


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More than three-color
color emulsion,

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kodachrome stacked with
doping and everything,

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and Polaroid instant camera.

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Of course, in 1945, the
definition of instant

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was a little bit different.

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30 seconds to two minutes
was considered to be instant.

00:10:00.450 --> 00:10:02.310 align:middle line:90%
And this, I was intrigued.

00:10:02.310 --> 00:10:05.730 align:middle line:84%
This, of course, I
found it on Wikipedia.

00:10:05.730 --> 00:10:08.070 align:middle line:84%
But Maxwell, whom
we don't normally

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associate with doing
experimental work,

00:10:10.748 --> 00:10:12.165 align:middle line:84%
but this was the
color photograph.

00:10:12.165 --> 00:10:14.123 align:middle line:84%
RAMESH RASKAR: Do you
know how it was captured?

00:10:14.123 --> 00:10:17.100 align:middle line:84%
RAVI ATHALE: At three separate
exposures, and then stack them.

00:10:17.100 --> 00:10:20.110 align:middle line:84%
Three separate films through
three separate filters.

00:10:20.110 --> 00:10:22.110 align:middle line:84%
RAMESH RASKAR: But how
did he put them together?

00:10:22.110 --> 00:10:23.832 align:middle line:84%
RAVI ATHALE: I guess
outlined it by hand.

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RAMESH RASKAR:
After developing it?

00:10:25.290 --> 00:10:26.580 align:middle line:90%
RAVI ATHALE: Yeah.

00:10:26.580 --> 00:10:30.090 align:middle line:84%
And of course, Abraham Lincoln
was the first president

00:10:30.090 --> 00:10:34.230 align:middle line:84%
to be photographed, and lots
of beautiful photographs

00:10:34.230 --> 00:10:35.520 align:middle line:90%
of Civil War.

00:10:35.520 --> 00:10:38.190 align:middle line:84%
RAMESH RASKAR: The
photograph looks still crisp.

00:10:38.190 --> 00:10:40.320 align:middle line:90%
RAVI ATHALE: Yeah.

00:10:40.320 --> 00:10:40.935 align:middle line:90%
I don't know.

00:10:40.935 --> 00:10:43.546 align:middle line:84%
I don't if it was
subsequently touched up.

00:10:43.546 --> 00:10:45.296 align:middle line:84%
STUDENT: They used the
light field camera.

00:10:45.296 --> 00:10:46.448 align:middle line:90%
[STUDENTS LAUGHING]

00:10:46.448 --> 00:10:48.240 align:middle line:84%
RAMESH RASKAR: Actually,
light field camera

00:10:48.240 --> 00:10:50.220 align:middle line:90%
was invented back in 1908.

00:10:50.220 --> 00:10:51.410 align:middle line:90%
RAVI ATHALE: Yeah.

00:10:51.410 --> 00:10:53.452 align:middle line:84%
STUDENT: It looks like
it's a long exposure maybe

00:10:53.452 --> 00:10:55.493 align:middle line:84%
because the trees in the
background are kind of--

00:10:55.493 --> 00:10:56.250 align:middle line:90%
RAVI ATHALE: Yes.

00:10:56.250 --> 00:10:56.970 align:middle line:90%
[INTERPOSING VOICES]

00:10:56.970 --> 00:10:57.240 align:middle line:90%
RAVI ATHALE: I think--

00:10:57.240 --> 00:10:58.350 align:middle line:90%
STUDENT: Using a pinhole.

00:10:58.350 --> 00:11:00.150 align:middle line:84%
RAVI ATHALE: All
exposures were long.

00:11:00.150 --> 00:11:08.580 align:middle line:84%
But-- Another historic milestone
that captured [INAUDIBLE]

00:11:08.580 --> 00:11:13.410 align:middle line:84%
display that [INAUDIBLE]
so mechanical scanning

00:11:13.410 --> 00:11:17.820 align:middle line:84%
and all kinds of
other things, CCD.

00:11:17.820 --> 00:11:22.050 align:middle line:84%
Just, I gave this
seminar about a month

00:11:22.050 --> 00:11:25.380 align:middle line:84%
and a half ago, and two weeks
later, the CCD Nobel Prize

00:11:25.380 --> 00:11:26.020 align:middle line:90%
was announced.

00:11:26.020 --> 00:11:28.620 align:middle line:84%
And I don't know-- many
of you are probably

00:11:28.620 --> 00:11:32.490 align:middle line:84%
aware of the controversy whether
these people really deserve

00:11:32.490 --> 00:11:37.290 align:middle line:84%
the Nobel Prize or not because
they were working on shift

00:11:37.290 --> 00:11:38.760 align:middle line:90%
registered memory.

00:11:38.760 --> 00:11:41.070 align:middle line:84%
And it was somebody
else who said, hey,

00:11:41.070 --> 00:11:42.150 align:middle line:90%
it's light sensitive.

00:11:42.150 --> 00:11:44.520 align:middle line:84%
Anyway, but most
of these things,

00:11:44.520 --> 00:11:48.450 align:middle line:84%
there is always a controversy
about including MRI

00:11:48.450 --> 00:11:50.460 align:middle line:90%
and all kinds of other things.

00:11:50.460 --> 00:11:52.830 align:middle line:90%
But this is kind of interesting.

00:11:52.830 --> 00:11:53.940 align:middle line:90%
Here.

00:11:53.940 --> 00:11:56.730 align:middle line:84%
Look at this, the
first Fairchild camera.

00:11:56.730 --> 00:12:00.150 align:middle line:90%
So I think 88 pounds.

00:12:00.150 --> 00:12:04.920 align:middle line:90%
0.01 megapixels, 23 seconds.

00:12:04.920 --> 00:12:07.740 align:middle line:84%
And actually, if you look
at the date, December '75.

00:12:07.740 --> 00:12:09.240 align:middle line:90%
That's not that far back.

00:12:09.240 --> 00:12:10.290 align:middle line:90%
RAMESH RASKAR: Yeah.

00:12:10.290 --> 00:12:12.660 align:middle line:84%
RAVI ATHALE: That's not
that far back at all.

00:12:12.660 --> 00:12:17.820 align:middle line:84%
Then the subsequent digital
camera [INAUDIBLE] Sony

00:12:17.820 --> 00:12:24.705 align:middle line:84%
[INAUDIBLE],, quarter megapixel
DCS 100, 1 megapixel $20,000.

00:12:24.705 --> 00:12:29.730 align:middle line:84%
And '97 was the first
transmission of picture

00:12:29.730 --> 00:12:31.800 align:middle line:84%
from cell phone and
cell phone camera.

00:12:31.800 --> 00:12:33.600 align:middle line:84%
And this last one
is very interesting.

00:12:33.600 --> 00:12:39.190 align:middle line:84%
Very recently, Kodak stopped
production of kodachrome film,

00:12:39.190 --> 00:12:43.200 align:middle line:84%
so if anybody has film
cameras, well, you better start

00:12:43.200 --> 00:12:45.330 align:middle line:90%
stocking up on old film.

00:12:45.330 --> 00:12:49.260 align:middle line:84%
And 2006, the 10
megapixel cell phone.

00:12:49.260 --> 00:12:52.500 align:middle line:84%
I think with this camera, pixel
cell phone cameras and all

00:12:52.500 --> 00:12:55.900 align:middle line:84%
that, instead of a cell
phone with a camera,

00:12:55.900 --> 00:12:57.720 align:middle line:84%
this is a camera
with a cell phone.

00:12:57.720 --> 00:13:01.530 align:middle line:84%
So the bulk of it is probably
the optics and everything else.

00:13:01.530 --> 00:13:05.550 align:middle line:84%
Optics, mostly,
that goes with it.

00:13:05.550 --> 00:13:07.320 align:middle line:90%
You have heard of Moore's law?

00:13:07.320 --> 00:13:09.810 align:middle line:84%
There is something
called Kennedy's law.

00:13:09.810 --> 00:13:11.670 align:middle line:90%
Empirical observation.

00:13:11.670 --> 00:13:13.320 align:middle line:90%
How many pixels per dollar?

00:13:13.320 --> 00:13:15.330 align:middle line:84%
And that's of course,
a large scale,

00:13:15.330 --> 00:13:18.630 align:middle line:84%
and this is a linear
scale in years.

00:13:18.630 --> 00:13:25.110 align:middle line:84%
From this DCS 460,
100 pixels per dollar,

00:13:25.110 --> 00:13:26.490 align:middle line:90%
to all the way here.

00:13:26.490 --> 00:13:27.990 align:middle line:90%
And we will probably--

00:13:27.990 --> 00:13:32.190 align:middle line:84%
I don't know, this
is still an old girl.

00:13:32.190 --> 00:13:36.540 align:middle line:84%
A megapixel camera,
I think $5, and I

00:13:36.540 --> 00:13:38.700 align:middle line:84%
think the goal of many
of these companies

00:13:38.700 --> 00:13:40.560 align:middle line:90%
is megapixel camera for a buck.

00:13:40.560 --> 00:13:44.280 align:middle line:84%
Everything-- the lens, the
focal plane array, the PC board,

00:13:44.280 --> 00:13:46.310 align:middle line:90%
and everything ready to plug in.

00:13:46.310 --> 00:13:48.060 align:middle line:84%
RAMESH RASKAR: With a
wafer level cameras.

00:13:48.060 --> 00:13:48.900 align:middle line:84%
RAVI ATHALE: With the
wafer level cameras.

00:13:48.900 --> 00:13:49.890 align:middle line:84%
RAMESH RASKAR: It's
already about $1.

00:13:49.890 --> 00:13:50.100 align:middle line:90%
RAVI ATHALE: Yeah.

00:13:50.100 --> 00:13:51.410 align:middle line:90%
RAMESH RASKAR: Less than $1.

00:13:51.410 --> 00:13:54.120 align:middle line:84%
RAVI ATHALE: So megapixel
per dollar, so it's already

00:13:54.120 --> 00:13:55.632 align:middle line:90%
out there somewhere.

00:13:55.632 --> 00:13:58.230 align:middle line:90%


00:13:58.230 --> 00:14:02.310 align:middle line:84%
And this is the picture
gallery, so the [INAUDIBLE] 100,

00:14:02.310 --> 00:14:03.720 align:middle line:90%
Samsung.

00:14:03.720 --> 00:14:08.520 align:middle line:84%
This is the Omnivision's
focal plane array,

00:14:08.520 --> 00:14:11.550 align:middle line:90%
2.1 by 2.3 millimeters.

00:14:11.550 --> 00:14:14.010 align:middle line:84%
And this is a very
interesting thing.

00:14:14.010 --> 00:14:16.840 align:middle line:90%
[INTERPOSING VOICES]

00:14:16.840 --> 00:14:21.930 align:middle line:84%
For endoscopy, video endoscopy,
1.8 millimeter diameter

00:14:21.930 --> 00:14:27.600 align:middle line:84%
includes lens, the focal plane,
the cable for sending power,

00:14:27.600 --> 00:14:29.970 align:middle line:90%
sending the signals back.

00:14:29.970 --> 00:14:36.450 align:middle line:84%
Not great resolution, 326
by 382, but if something

00:14:36.450 --> 00:14:39.130 align:middle line:84%
needs to be stuck inside your
body, smaller the better,

00:14:39.130 --> 00:14:45.000 align:middle line:84%
and 1.8 millimeter is
definitely, definitely nice.

00:14:45.000 --> 00:14:50.280 align:middle line:84%
This chip is the one that's
used in the pill camera

00:14:50.280 --> 00:14:52.575 align:middle line:84%
that you swallow to
image your insides.

00:14:52.575 --> 00:14:56.940 align:middle line:90%


00:14:56.940 --> 00:15:01.440 align:middle line:84%
I thought of something--
that imaging case study,

00:15:01.440 --> 00:15:04.950 align:middle line:84%
studying the inner space versus
studying the outer space.

00:15:04.950 --> 00:15:09.810 align:middle line:84%
So the camera pill and the
Hubble Space Telescope.

00:15:09.810 --> 00:15:11.620 align:middle line:84%
RAMESH RASKAR: Both
are shaped like a pill.

00:15:11.620 --> 00:15:13.320 align:middle line:84%
RAVI ATHALE: (LAUGHING)
Both are shaped like a pill.

00:15:13.320 --> 00:15:14.700 align:middle line:90%
RAMESH RASKAR: Just a little.

00:15:14.700 --> 00:15:16.367 align:middle line:84%
RAVI ATHALE: Both are
shaped like a pill

00:15:16.367 --> 00:15:20.550 align:middle line:84%
in the sense this was actually
in the montage program

00:15:20.550 --> 00:15:21.990 align:middle line:90%
that I started at DARPA.

00:15:21.990 --> 00:15:26.640 align:middle line:84%
That was one of the motivations
that, over the past 30, 40

00:15:26.640 --> 00:15:31.410 align:middle line:84%
years, the displays
have become thinner,

00:15:31.410 --> 00:15:35.380 align:middle line:84%
from bulky CRTs to thin,
flat panel displays.

00:15:35.380 --> 00:15:38.250 align:middle line:84%
But the cameras, the aspect
ratio of the cameras,

00:15:38.250 --> 00:15:41.970 align:middle line:84%
have not changed in the past
however many thousand years.

00:15:41.970 --> 00:15:45.930 align:middle line:84%
They are always tube like,
and so the goal was, can you

00:15:45.930 --> 00:15:47.820 align:middle line:90%
squash the cameras.

00:15:47.820 --> 00:15:51.120 align:middle line:84%
Can you make a camera that
is five millimeters thick,

00:15:51.120 --> 00:15:54.090 align:middle line:84%
but the effective focal
length is 50 millimeters,

00:15:54.090 --> 00:15:57.570 align:middle line:84%
and the light gathering
power also [INAUDIBLE]??

00:15:57.570 --> 00:16:00.180 align:middle line:84%
And there are various
tricks that you can play.

00:16:00.180 --> 00:16:02.190 align:middle line:84%
The origami lens that
you probably studied

00:16:02.190 --> 00:16:04.210 align:middle line:90%
is one of the examples.

00:16:04.210 --> 00:16:07.000 align:middle line:84%
A multi aperture
is another example.

00:16:07.000 --> 00:16:08.850 align:middle line:84%
But one of the things
about-- and I'm

00:16:08.850 --> 00:16:11.850 align:middle line:84%
not sure, in this presentation,
there are the technical details

00:16:11.850 --> 00:16:13.270 align:middle line:90%
or specifications.

00:16:13.270 --> 00:16:14.880 align:middle line:84%
But it's very
interesting, if you

00:16:14.880 --> 00:16:17.340 align:middle line:84%
look at the specifications
of, say, Hubble, a pill

00:16:17.340 --> 00:16:22.080 align:middle line:84%
camera, or take one of the
modern lithography lenses,

00:16:22.080 --> 00:16:24.360 align:middle line:84%
I don't think I have
a picture of that,

00:16:24.360 --> 00:16:29.490 align:middle line:84%
but the model lithography lenses
are a marvel of technology.

00:16:29.490 --> 00:16:34.080 align:middle line:84%
That these things-- getting--
you remember how much--

00:16:34.080 --> 00:16:36.147 align:middle line:84%
they weigh several
thousand pounds.

00:16:36.147 --> 00:16:37.230 align:middle line:90%
RAMESH RASKAR: [INAUDIBLE]

00:16:37.230 --> 00:16:42.240 align:middle line:84%
RAVI ATHALE: Some obscenely
heavy, huge number

00:16:42.240 --> 00:16:46.890 align:middle line:84%
of elements in this, and cost
multiple million dollars.

00:16:46.890 --> 00:16:50.790 align:middle line:84%
And the reason is that
it's absolutely diffraction

00:16:50.790 --> 00:16:54.660 align:middle line:84%
limited performance over a
fairly wide field of view

00:16:54.660 --> 00:16:57.840 align:middle line:84%
with zero distortion
and all the aberrations,

00:16:57.840 --> 00:16:59.070 align:middle line:90%
everything corrected.

00:16:59.070 --> 00:17:02.790 align:middle line:90%


00:17:02.790 --> 00:17:06.000 align:middle line:84%
Now, multi-scale images
broad, wide, and deep.

00:17:06.000 --> 00:17:09.300 align:middle line:84%
Now everybody,
gigapixel imaging,

00:17:09.300 --> 00:17:12.780 align:middle line:84%
since the inauguration,
it has really taken off.

00:17:12.780 --> 00:17:17.819 align:middle line:84%
There are so many images like
that, having the wide panorama

00:17:17.819 --> 00:17:21.750 align:middle line:84%
and finding the details
over here somewhere.

00:17:21.750 --> 00:17:22.900 align:middle line:90%
The eagle.

00:17:22.900 --> 00:17:30.420 align:middle line:84%
And so can we get here from
where we are right now,

00:17:30.420 --> 00:17:36.300 align:middle line:84%
and in a realistic size,
weight, cost thing?

00:17:36.300 --> 00:17:40.590 align:middle line:90%
Can we get a gigapixel camera?

00:17:40.590 --> 00:17:43.110 align:middle line:84%
Can we get a 10 or
100 gigapixel camera?

00:17:43.110 --> 00:17:44.340 align:middle line:90%
Very wide field of view.

00:17:44.340 --> 00:17:45.870 align:middle line:90%
Very high resolution.

00:17:45.870 --> 00:17:48.480 align:middle line:84%
These are some of the challenges
that will be addressed,

00:17:48.480 --> 00:17:51.010 align:middle line:90%
and not doing brute force.

00:17:51.010 --> 00:17:56.190 align:middle line:84%
So it's an interesting
prospect, and it's

00:17:56.190 --> 00:17:58.682 align:middle line:90%
an interesting direction.

00:17:58.682 --> 00:18:01.140 align:middle line:84%
RAMESH RASKAR: But in terms of
the cameras that individuals

00:18:01.140 --> 00:18:01.650 align:middle line:90%
will carry?

00:18:01.650 --> 00:18:03.108 align:middle line:84%
Or this will be
installed, and then

00:18:03.108 --> 00:18:06.330 align:middle line:84%
you have access
to it, so that you

00:18:06.330 --> 00:18:10.130 align:middle line:84%
can [INAUDIBLE] of interest,
you can capture what you want?

00:18:10.130 --> 00:18:13.200 align:middle line:84%
RAVI ATHALE: This is kind
of an interesting thing.

00:18:13.200 --> 00:18:19.290 align:middle line:84%
You can imagine an individual,
like special operations

00:18:19.290 --> 00:18:24.360 align:middle line:84%
soldiers, carrying binoculars
with the standard binocular

00:18:24.360 --> 00:18:29.400 align:middle line:84%
form factor that will be
equivalent to a gigapixel.

00:18:29.400 --> 00:18:32.580 align:middle line:84%
But there are no
gigapixel displays.

00:18:32.580 --> 00:18:36.060 align:middle line:84%
Human vision doesn't have the
space bandwidth for gigapixel.

00:18:36.060 --> 00:18:40.440 align:middle line:84%
So within that gigapixel, you
should be able to [INAUDIBLE]

00:18:40.440 --> 00:18:43.470 align:middle line:84%
and zoom in and
look at the details.

00:18:43.470 --> 00:18:45.630 align:middle line:84%
There is an ongoing
DARPA program--

00:18:45.630 --> 00:18:49.650 align:middle line:84%
I don't know what
phase it is at--

00:18:49.650 --> 00:18:54.630 align:middle line:84%
some cognitive technology
for warfighters, blah, blah.

00:18:54.630 --> 00:18:57.900 align:middle line:84%
It was colloquially
called Luke's Binoculars.

00:18:57.900 --> 00:18:59.880 align:middle line:84%
So in Star Wars, Luke
has these binoculars,

00:18:59.880 --> 00:19:01.110 align:middle line:90%
and you're looking at it.

00:19:01.110 --> 00:19:05.400 align:middle line:84%
And it could put a cursor that
alien there, or that's that.

00:19:05.400 --> 00:19:08.310 align:middle line:84%
It was primarily focused
on the processing

00:19:08.310 --> 00:19:13.510 align:middle line:84%
based on neuromorphic algorithms
or something like that.

00:19:13.510 --> 00:19:20.760 align:middle line:84%
So the idea will be, if you can
design the camera or an imaging

00:19:20.760 --> 00:19:25.660 align:middle line:84%
sensor that can capture a
gigapixel worth of information,

00:19:25.660 --> 00:19:29.820 align:middle line:84%
and if you have this back end,
this neuromorphically induced

00:19:29.820 --> 00:19:33.420 align:middle line:84%
processing, that can cue the
soldiers to look here, there,

00:19:33.420 --> 00:19:38.700 align:middle line:84%
and the soldier can
appropriately focus there.

00:19:38.700 --> 00:19:40.470 align:middle line:84%
In terms of what
kind of things that

00:19:40.470 --> 00:19:43.410 align:middle line:84%
will be really useful
for warfighter right now,

00:19:43.410 --> 00:19:45.000 align:middle line:90%
that could be one of the things.

00:19:45.000 --> 00:19:48.480 align:middle line:84%
And then of course, you have
platforms at various levels,

00:19:48.480 --> 00:19:51.570 align:middle line:84%
from micro UAVs with
about nine inch wingspan,

00:19:51.570 --> 00:19:53.370 align:middle line:84%
to Predators to
all the [INAUDIBLE]

00:19:53.370 --> 00:19:54.780 align:middle line:90%
space based imaging.

00:19:54.780 --> 00:19:59.400 align:middle line:84%
And the field of view, and the
pixel resolution requirements,

00:19:59.400 --> 00:20:02.060 align:middle line:84%
and everything-- it
spans all over the space.

00:20:02.060 --> 00:20:06.420 align:middle line:90%


00:20:06.420 --> 00:20:09.400 align:middle line:84%
So I'm switching
gears a little bit,

00:20:09.400 --> 00:20:15.570 align:middle line:84%
and previous was, you can
say, an anecdotal or event

00:20:15.570 --> 00:20:17.670 align:middle line:90%
based vision of the history.

00:20:17.670 --> 00:20:22.800 align:middle line:84%
Now, we'll go into a little
bit of a technical angle

00:20:22.800 --> 00:20:24.910 align:middle line:90%
of looking at history.

00:20:24.910 --> 00:20:28.290 align:middle line:84%
So I think, first, one of
the questions-- and this

00:20:28.290 --> 00:20:33.360 align:middle line:84%
also gets into where we
should be headed anyway.

00:20:33.360 --> 00:20:38.730 align:middle line:84%
So imaging sensors, or you
can say sensors in general,

00:20:38.730 --> 00:20:40.570 align:middle line:90%
why do we do this?

00:20:40.570 --> 00:20:42.510 align:middle line:84%
What it is, and
why do we do this?

00:20:42.510 --> 00:20:47.460 align:middle line:84%
So questions we ask, and
this is something-- these

00:20:47.460 --> 00:20:48.990 align:middle line:90%
are very generic questions.

00:20:48.990 --> 00:20:52.300 align:middle line:84%
And we constantly are asking
these questions, who, what,

00:20:52.300 --> 00:20:54.030 align:middle line:90%
where, when.

00:20:54.030 --> 00:20:56.490 align:middle line:84%
That's the sensing
front end part,

00:20:56.490 --> 00:21:00.550 align:middle line:84%
and how and why is the
analysis and exploration part.

00:21:00.550 --> 00:21:07.290 align:middle line:84%
So when you reduce
it down to its sense,

00:21:07.290 --> 00:21:11.850 align:middle line:84%
all we care about is
answering these questions.

00:21:11.850 --> 00:21:16.890 align:middle line:84%
When it comes to using
imaging as spatial sensors,

00:21:16.890 --> 00:21:21.720 align:middle line:84%
not imaging to take photographs
of your vacation, where

00:21:21.720 --> 00:21:24.870 align:middle line:84%
you can view this and
recapture the experience.

00:21:24.870 --> 00:21:27.660 align:middle line:84%
That's a different
world, and in some sense,

00:21:27.660 --> 00:21:31.170 align:middle line:84%
computational photography
and computational imaging,

00:21:31.170 --> 00:21:34.170 align:middle line:84%
that's where-- when I say
computational imaging,

00:21:34.170 --> 00:21:36.420 align:middle line:84%
you are looking at imaging,
you are considering

00:21:36.420 --> 00:21:38.970 align:middle line:90%
that as a spatial sensor.

00:21:38.970 --> 00:21:41.670 align:middle line:84%
A spatial sensor
means a system that

00:21:41.670 --> 00:21:44.580 align:middle line:84%
is designed to answer
these questions.

00:21:44.580 --> 00:21:50.310 align:middle line:84%
Identifying various constituent
elements in the scene,

00:21:50.310 --> 00:21:52.950 align:middle line:84%
specifying their
location and their time.

00:21:52.950 --> 00:21:56.250 align:middle line:90%


00:21:56.250 --> 00:22:00.510 align:middle line:84%
Now, within this
particular realm,

00:22:00.510 --> 00:22:04.860 align:middle line:84%
you have two different
sensory modalities.

00:22:04.860 --> 00:22:07.560 align:middle line:84%
One, you can say
proximate sensor,

00:22:07.560 --> 00:22:09.750 align:middle line:84%
and the other is
standard sensor.

00:22:09.750 --> 00:22:13.260 align:middle line:84%
So proximate sensor,
I want to know what

00:22:13.260 --> 00:22:14.820 align:middle line:90%
is the texture of a surface.

00:22:14.820 --> 00:22:17.640 align:middle line:84%
I put my hand at the
sensor are move around.

00:22:17.640 --> 00:22:20.250 align:middle line:90%
I say, is it rough or smooth?

00:22:20.250 --> 00:22:21.750 align:middle line:90%
Is it uniform?

00:22:21.750 --> 00:22:23.550 align:middle line:90%
What is the granularity?

00:22:23.550 --> 00:22:26.790 align:middle line:84%
In other words, your
sensors are spatially

00:22:26.790 --> 00:22:32.700 align:middle line:84%
co-located with the object
that you are trying to measure.

00:22:32.700 --> 00:22:35.340 align:middle line:84%
And the other thing
is your sensors

00:22:35.340 --> 00:22:37.200 align:middle line:90%
are separated by some distance.

00:22:37.200 --> 00:22:43.560 align:middle line:84%
Now, that standoff is a
malleable soft concept.

00:22:43.560 --> 00:22:49.260 align:middle line:84%
Say, for example, take the
magnetic hard drive disk head.

00:22:49.260 --> 00:22:53.310 align:middle line:84%
So for a magnetic storage,
the heads will be floating,

00:22:53.310 --> 00:22:57.300 align:middle line:84%
I don't know, a few microns
or a few hundred nanometers

00:22:57.300 --> 00:22:58.870 align:middle line:90%
above the disk surface.

00:22:58.870 --> 00:23:02.550 align:middle line:84%
So if, when you go
to the optical disks,

00:23:02.550 --> 00:23:05.820 align:middle line:84%
and the optical head is
floating two millimeters away

00:23:05.820 --> 00:23:08.650 align:middle line:84%
from the surface,
that's a huge distance.

00:23:08.650 --> 00:23:13.620 align:middle line:84%
So that's a standoff
for writing and reading,

00:23:13.620 --> 00:23:17.100 align:middle line:84%
whereas a standoff, if you're
talking about a Hubble Space

00:23:17.100 --> 00:23:18.780 align:middle line:84%
Telescope that's
looking at the farthest

00:23:18.780 --> 00:23:23.460 align:middle line:84%
galaxy in the universe, that
standoff distance is however

00:23:23.460 --> 00:23:25.810 align:middle line:90%
many billion light years away.

00:23:25.810 --> 00:23:30.030 align:middle line:84%
But the point is, where you're
making the measurements is not

00:23:30.030 --> 00:23:33.240 align:middle line:84%
co-located with what it is
that you are trying to measure.

00:23:33.240 --> 00:23:35.850 align:middle line:90%


00:23:35.850 --> 00:23:37.680 align:middle line:84%
If you are doing
standoff sensing,

00:23:37.680 --> 00:23:40.290 align:middle line:84%
it has to involve
real propagation.

00:23:40.290 --> 00:23:42.840 align:middle line:90%
No ifs, ands, or buts.

00:23:42.840 --> 00:23:48.390 align:middle line:84%
And that's almost contained in
the definition of wave motion.

00:23:48.390 --> 00:23:51.540 align:middle line:84%
Wave is defined as
a phenomenon that

00:23:51.540 --> 00:23:55.590 align:middle line:84%
carries energy and
information over distance

00:23:55.590 --> 00:23:59.170 align:middle line:90%
without material transport.

00:23:59.170 --> 00:24:03.180 align:middle line:84%
So that's the difference
between a soundwave and wind.

00:24:03.180 --> 00:24:04.920 align:middle line:90%
Wind will carry leaves with it.

00:24:04.920 --> 00:24:07.140 align:middle line:84%
Soundwave will not
carry leaves with it.

00:24:07.140 --> 00:24:10.470 align:middle line:84%
Both involve movement
of air molecules,

00:24:10.470 --> 00:24:15.930 align:middle line:84%
but soundwave is capable of
carrying energy and information

00:24:15.930 --> 00:24:19.770 align:middle line:84%
over a distance without
a bulk transport.

00:24:19.770 --> 00:24:22.920 align:middle line:84%
And then of course, you have
the electromagnetic waves,

00:24:22.920 --> 00:24:25.530 align:middle line:84%
then you have seismic
waves, all kinds of waves.

00:24:25.530 --> 00:24:28.290 align:middle line:90%
But nonetheless, wave motion--

00:24:28.290 --> 00:24:33.480 align:middle line:84%
it is at the heart of any kind
of a standoff sensing activity.

00:24:33.480 --> 00:24:38.810 align:middle line:84%
So when you have wave, and
you have standoff distance,

00:24:38.810 --> 00:24:44.870 align:middle line:84%
you have wave propagation
that involves diffraction.

00:24:44.870 --> 00:24:47.750 align:middle line:84%
And that diffraction
essentially strangles

00:24:47.750 --> 00:24:50.820 align:middle line:84%
the spatial
organization of signals.

00:24:50.820 --> 00:24:55.790 align:middle line:84%
So in other words,
this particular scene,

00:24:55.790 --> 00:24:58.250 align:middle line:84%
there is ambient light
that is reflected off

00:24:58.250 --> 00:25:01.500 align:middle line:84%
your face as individual
spots on your face.

00:25:01.500 --> 00:25:04.880 align:middle line:84%
And so right there, if
I put a photodetector

00:25:04.880 --> 00:25:08.210 align:middle line:84%
and move it around your
face, it can measure

00:25:08.210 --> 00:25:10.430 align:middle line:90%
the reflectance of the surface.

00:25:10.430 --> 00:25:13.410 align:middle line:84%
If I move that
photodetector over here,

00:25:13.410 --> 00:25:16.040 align:middle line:84%
and if I put a
photographic film or a CCD

00:25:16.040 --> 00:25:18.620 align:middle line:84%
without any optical
element, I'm just

00:25:18.620 --> 00:25:21.290 align:middle line:84%
going to get basically
a uniform exposure.

00:25:21.290 --> 00:25:24.480 align:middle line:84%
All that spatial
organization is lost.

00:25:24.480 --> 00:25:32.850 align:middle line:84%
So we effectively, when we are
doing the standoff sensing,

00:25:32.850 --> 00:25:35.040 align:middle line:90%
we have two parts.

00:25:35.040 --> 00:25:38.540 align:middle line:84%
One, you can call it
the source encoding.

00:25:38.540 --> 00:25:44.750 align:middle line:84%
That is the phenomenology by
which the objects in the scene

00:25:44.750 --> 00:25:48.140 align:middle line:84%
impress information
about themselves

00:25:48.140 --> 00:25:50.310 align:middle line:84%
on the electromagnetic
radiation,

00:25:50.310 --> 00:25:53.000 align:middle line:84%
whether it's by emission
or reflection or absorption

00:25:53.000 --> 00:25:54.050 align:middle line:90%
or scattering.

00:25:54.050 --> 00:25:58.070 align:middle line:84%
And the full domain of the
electromagnetic wavelength,

00:25:58.070 --> 00:26:02.060 align:middle line:84%
the amplitude and wavelength
and polarization and everything,

00:26:02.060 --> 00:26:04.470 align:middle line:84%
is used to encode
that information.

00:26:04.470 --> 00:26:08.600 align:middle line:84%
And the other is channel
encoding or channel distortion.

00:26:08.600 --> 00:26:11.030 align:middle line:84%
That is the result
of the propagation

00:26:11.030 --> 00:26:16.130 align:middle line:84%
of that wave between the
objects and your entrance pupil,

00:26:16.130 --> 00:26:17.960 align:middle line:90%
or where you're entering.

00:26:17.960 --> 00:26:19.320 align:middle line:90%
So these are the two things.

00:26:19.320 --> 00:26:22.550 align:middle line:84%
So when we say
about processing, we

00:26:22.550 --> 00:26:25.220 align:middle line:84%
are talking about removing
the channel distortion

00:26:25.220 --> 00:26:28.520 align:middle line:84%
or undoing the effects
of diffraction.

00:26:28.520 --> 00:26:32.090 align:middle line:84%
So what are the components
of an imaging sensor?

00:26:32.090 --> 00:26:36.330 align:middle line:84%
And I'm sure you have
done this in this class.

00:26:36.330 --> 00:26:38.930 align:middle line:84%
So there is the
front end element

00:26:38.930 --> 00:26:41.630 align:middle line:84%
that operates on the
electromagnetic wavelength

00:26:41.630 --> 00:26:44.610 align:middle line:90%
of the optical wafer directly.

00:26:44.610 --> 00:26:46.130 align:middle line:84%
Then there is the
transduction that

00:26:46.130 --> 00:26:47.840 align:middle line:84%
takes that
electromagnetic energy

00:26:47.840 --> 00:26:50.150 align:middle line:84%
and transduces it
into some other form.

00:26:50.150 --> 00:26:52.760 align:middle line:84%
In photographic film,
it was chemical.

00:26:52.760 --> 00:26:56.090 align:middle line:84%
In CCDs and CMOS, it's
the electrical energy.

00:26:56.090 --> 00:26:58.460 align:middle line:84%
And then there is the
storage display processing

00:26:58.460 --> 00:26:59.700 align:middle line:90%
and exploitation.

00:26:59.700 --> 00:27:03.140 align:middle line:84%
So these are the three stages,
and I'm using the [INAUDIBLE]..

00:27:03.140 --> 00:27:08.360 align:middle line:84%
This color is not that strong,
but blue means biology and pink

00:27:08.360 --> 00:27:09.510 align:middle line:90%
means technology.

00:27:09.510 --> 00:27:12.110 align:middle line:84%
So in the
pre-prehistoric period,

00:27:12.110 --> 00:27:14.330 align:middle line:84%
all these elements
were biological.

00:27:14.330 --> 00:27:17.090 align:middle line:84%
The front end element was
the optics of your eye.

00:27:17.090 --> 00:27:18.980 align:middle line:84%
The transduction
was your retina,

00:27:18.980 --> 00:27:21.650 align:middle line:84%
and the subsequent processing
going into [INAUDIBLE]

00:27:21.650 --> 00:27:24.440 align:middle line:84%
went all the way up to
the prefrontal cortex.

00:27:24.440 --> 00:27:28.640 align:middle line:84%
But some recognition or
some processing exploitation

00:27:28.640 --> 00:27:29.450 align:middle line:90%
took place.

00:27:29.450 --> 00:27:31.430 align:middle line:84%
It was probably
before language, so we

00:27:31.430 --> 00:27:35.930 align:middle line:84%
don't know whether
pre-prehistoric primates,

00:27:35.930 --> 00:27:37.490 align:middle line:90%
and what terms they thought.

00:27:37.490 --> 00:27:44.330 align:middle line:84%
So then we come forward to
prehistoric and historic period

00:27:44.330 --> 00:27:46.550 align:middle line:90%
down to cave paintings.

00:27:46.550 --> 00:27:51.440 align:middle line:84%
So there, the storage
and display "technology,"

00:27:51.440 --> 00:27:53.510 align:middle line:90%
in quotes, was introduced.

00:27:53.510 --> 00:27:56.180 align:middle line:84%
Everything else is
still biological,

00:27:56.180 --> 00:27:59.450 align:middle line:84%
but capturing and
storing that experience--

00:27:59.450 --> 00:28:03.080 align:middle line:84%
and beyond this prehistoric
and historic period,

00:28:03.080 --> 00:28:07.340 align:middle line:84%
you can imagine the technology
getting more sophisticated,

00:28:07.340 --> 00:28:10.290 align:middle line:84%
but the principle
did not change.

00:28:10.290 --> 00:28:14.360 align:middle line:84%
And it stayed that way through
the prehistoric and historic

00:28:14.360 --> 00:28:16.910 align:middle line:90%
period.

00:28:16.910 --> 00:28:20.730 align:middle line:84%
Now, as we go forward to
pre-industrial period,

00:28:20.730 --> 00:28:24.270 align:middle line:84%
and as I said, the optical
elements were introduced.

00:28:24.270 --> 00:28:27.710 align:middle line:84%
So the optics of the eye,
or the front end element

00:28:27.710 --> 00:28:32.960 align:middle line:84%
of the entire sensing chain,
was augmented by technology.

00:28:32.960 --> 00:28:35.840 align:middle line:90%
And what were the consequences?

00:28:35.840 --> 00:28:38.435 align:middle line:84%
You could see farther,
and you could see smaller.

00:28:38.435 --> 00:28:41.150 align:middle line:90%


00:28:41.150 --> 00:28:45.720 align:middle line:84%
Industrial period was basically
the invention of photography.

00:28:45.720 --> 00:28:50.450 align:middle line:84%
So in addition to the eye,
the transduction element

00:28:50.450 --> 00:28:55.040 align:middle line:84%
and the storage and display
element was now technological.

00:28:55.040 --> 00:28:56.960 align:middle line:90%
What are the consequences?

00:28:56.960 --> 00:29:00.080 align:middle line:84%
We could expand into
invisible spectrum.

00:29:00.080 --> 00:29:03.980 align:middle line:84%
Now, one has to remember,
without photographic film,

00:29:03.980 --> 00:29:08.060 align:middle line:84%
x-rays would never have been
invented because [INAUDIBLE]

00:29:08.060 --> 00:29:10.520 align:middle line:84%
figured it out that there was
something going on because he

00:29:10.520 --> 00:29:14.390 align:middle line:84%
had this film that was
[INAUDIBLE],, and it still--

00:29:14.390 --> 00:29:15.410 align:middle line:90%
something happened.

00:29:15.410 --> 00:29:16.070 align:middle line:90%
It exposed.

00:29:16.070 --> 00:29:19.820 align:middle line:84%
So invisible spectrum,
then second thing

00:29:19.820 --> 00:29:23.750 align:middle line:84%
is time sequence
recording allowing

00:29:23.750 --> 00:29:26.343 align:middle line:84%
the analysis of very
fast or very slow events.

00:29:26.343 --> 00:29:28.010 align:middle line:84%
Time lapse photography
and other things,

00:29:28.010 --> 00:29:30.770 align:middle line:84%
so detailed study of
motion that went well

00:29:30.770 --> 00:29:33.960 align:middle line:90%
beyond the human time phase.

00:29:33.960 --> 00:29:37.340 align:middle line:84%
However, everything was
still non-real time.

00:29:37.340 --> 00:29:40.340 align:middle line:84%
You still required
chemical processing,

00:29:40.340 --> 00:29:44.720 align:middle line:84%
and processing and exploitation
was still by humans.

00:29:44.720 --> 00:29:50.210 align:middle line:84%
So as we move forward to the
modern era, 20th Century,

00:29:50.210 --> 00:29:55.640 align:middle line:84%
it really is a revolution
in imaging sensors, where

00:29:55.640 --> 00:30:01.490 align:middle line:84%
the processing and exploitation
is still primarily by humans,

00:30:01.490 --> 00:30:05.370 align:middle line:84%
but that slowly is moving into
a completely automated image

00:30:05.370 --> 00:30:06.350 align:middle line:90%
exploitation system.

00:30:06.350 --> 00:30:09.060 align:middle line:84%
And I just thought this
is an interesting example.

00:30:09.060 --> 00:30:12.080 align:middle line:84%
I don't think the Pee
Wee soccer league still

00:30:12.080 --> 00:30:14.900 align:middle line:84%
has a goal line camera
or something to decide

00:30:14.900 --> 00:30:17.520 align:middle line:84%
whether somebody was
offside or whatever,

00:30:17.520 --> 00:30:20.990 align:middle line:84%
but it's really
a matter of time.

00:30:20.990 --> 00:30:24.590 align:middle line:84%
And why is it a dramatic
break from the past?

00:30:24.590 --> 00:30:28.970 align:middle line:84%
Real time acquisition,
no chemical processing,

00:30:28.970 --> 00:30:30.530 align:middle line:84%
real time processing,
and [INAUDIBLE]

00:30:30.530 --> 00:30:33.320 align:middle line:84%
scalable manufacturing,
at least as far as sensors

00:30:33.320 --> 00:30:33.930 align:middle line:90%
are concerned.

00:30:33.930 --> 00:30:37.430 align:middle line:84%
And now, with the wafer
level camera and new designs

00:30:37.430 --> 00:30:41.120 align:middle line:84%
for front end optical elements,
that scalable manufacturing

00:30:41.120 --> 00:30:45.110 align:middle line:90%
is also moving towards optics.

00:30:45.110 --> 00:30:48.378 align:middle line:90%
And let me see, this--

00:30:48.378 --> 00:30:48.920 align:middle line:90%
I don't know.

00:30:48.920 --> 00:30:51.530 align:middle line:84%
Did you show this
[INAUDIBLE] in the class?

00:30:51.530 --> 00:30:54.330 align:middle line:90%
RAMESH RASKAR: No, I haven't.

00:30:54.330 --> 00:30:58.160 align:middle line:84%
RAVI ATHALE: As I was working
on some of this presentation,

00:30:58.160 --> 00:31:02.180 align:middle line:84%
from this very interesting
article from Nathan Myhrvold--

00:31:02.180 --> 00:31:05.030 align:middle line:84%
people know about Nathan
Myhrvold, and his--

00:31:05.030 --> 00:31:08.390 align:middle line:84%
I think he was employee number
15 or something at Microsoft.

00:31:08.390 --> 00:31:10.910 align:middle line:84%
And from what I
understand, his primary

00:31:10.910 --> 00:31:13.430 align:middle line:84%
contribution to the
thing at that time,

00:31:13.430 --> 00:31:17.120 align:middle line:84%
to have a standalone
company that is solely

00:31:17.120 --> 00:31:20.180 align:middle line:84%
for the purpose of
developing systems software

00:31:20.180 --> 00:31:21.540 align:middle line:90%
and making money on that.

00:31:21.540 --> 00:31:25.460 align:middle line:84%
So his contribution was the
business model for Microsoft,

00:31:25.460 --> 00:31:31.550 align:middle line:84%
and he's currently either the
most famous or most reviled

00:31:31.550 --> 00:31:34.430 align:middle line:84%
person in Silicon
Valley for having

00:31:34.430 --> 00:31:36.830 align:middle line:84%
started a company,
Intellectual Ventures.

00:31:36.830 --> 00:31:38.810 align:middle line:84%
And again, he's trying
to do a business model,

00:31:38.810 --> 00:31:43.130 align:middle line:84%
that a company can exist solely
for the purpose of inventing

00:31:43.130 --> 00:31:45.590 align:middle line:84%
things, never
commercializing, never

00:31:45.590 --> 00:31:49.280 align:middle line:84%
prioritizing, but essentially
filing the patents

00:31:49.280 --> 00:31:53.240 align:middle line:84%
and sitting on them, and either
licensing it or suing people

00:31:53.240 --> 00:31:55.640 align:middle line:84%
who they think
violated the patent.

00:31:55.640 --> 00:31:58.320 align:middle line:84%
It's a very interesting
business model.

00:31:58.320 --> 00:32:00.560 align:middle line:84%
So obviously, he knows
something about these things.

00:32:00.560 --> 00:32:05.270 align:middle line:84%
He made this comment about,
cameras will also change form.

00:32:05.270 --> 00:32:08.030 align:middle line:84%
They are film cameras
without the film,

00:32:08.030 --> 00:32:09.980 align:middle line:84%
basically like the
early automobiles

00:32:09.980 --> 00:32:12.110 align:middle line:90%
were a horseless carriage.

00:32:12.110 --> 00:32:15.980 align:middle line:84%
So his point is that
camera stores of the future

00:32:15.980 --> 00:32:18.450 align:middle line:90%
will surprise us just as much.

00:32:18.450 --> 00:32:22.410 align:middle line:84%
And I was making this
comment, somebody said,

00:32:22.410 --> 00:32:24.770 align:middle line:84%
oh what the hell is
he talking about?

00:32:24.770 --> 00:32:27.635 align:middle line:84%
The automobiles are still
the same as in 1910.

00:32:27.635 --> 00:32:29.280 align:middle line:84%
100 years later,
nothing has changed.

00:32:29.280 --> 00:32:31.520 align:middle line:84%
It still is internal
combustion engine

00:32:31.520 --> 00:32:33.080 align:middle line:90%
and transmission and wheels.

00:32:33.080 --> 00:32:34.250 align:middle line:90%
Well, yes and no.

00:32:34.250 --> 00:32:38.090 align:middle line:84%
So now, we thought that we'll
take this analogy a little bit

00:32:38.090 --> 00:32:45.050 align:middle line:84%
forward and say, so horse drawn
carriage, horseless carriage,

00:32:45.050 --> 00:32:46.430 align:middle line:90%
to the family station wagon.

00:32:46.430 --> 00:32:49.700 align:middle line:84%
Up to here, you can say really,
it's more sophisticated,

00:32:49.700 --> 00:32:51.120 align:middle line:90%
but nothing has changed.

00:32:51.120 --> 00:32:54.330 align:middle line:84%
But then you say, what
else has happened?

00:32:54.330 --> 00:33:00.830 align:middle line:84%
And automotives, tractors,
[INAUDIBLE],, a tank,

00:33:00.830 --> 00:33:04.550 align:middle line:84%
to that [INAUDIBLE] that's
allowed to split the lid.

00:33:04.550 --> 00:33:09.050 align:middle line:84%
And this, of course, you
recognize that as Stanley,

00:33:09.050 --> 00:33:11.120 align:middle line:90%
autonomous vehicle.

00:33:11.120 --> 00:33:15.170 align:middle line:90%
So if we say that film cameras--

00:33:15.170 --> 00:33:18.260 align:middle line:84%
filmless cameras-- I really
love this picture because both

00:33:18.260 --> 00:33:19.400 align:middle line:90%
of them are cameras.

00:33:19.400 --> 00:33:20.160 align:middle line:90%
Identical.

00:33:20.160 --> 00:33:21.860 align:middle line:84%
This-- these are
all film backplane.

00:33:21.860 --> 00:33:23.480 align:middle line:90%
That's a CCD backplane.

00:33:23.480 --> 00:33:25.580 align:middle line:84%
So where is it
going in the future?

00:33:25.580 --> 00:33:27.260 align:middle line:90%
What are the future directions?

00:33:27.260 --> 00:33:31.640 align:middle line:84%
And at least our
projection is where

00:33:31.640 --> 00:33:35.510 align:middle line:84%
it's going in the future is
specialization and [INAUDIBLE],,

00:33:35.510 --> 00:33:37.980 align:middle line:84%
that the same
concept, of course,

00:33:37.980 --> 00:33:40.700 align:middle line:84%
there is some energy
source, and there

00:33:40.700 --> 00:33:44.660 align:middle line:84%
is some mechanism to
convert that energy

00:33:44.660 --> 00:33:46.650 align:middle line:90%
into mechanical motion.

00:33:46.650 --> 00:33:48.990 align:middle line:84%
So in that sense
nothing has changed.

00:33:48.990 --> 00:33:53.300 align:middle line:84%
But if you look at this
and this and this and this,

00:33:53.300 --> 00:33:55.490 align:middle line:84%
each one is designed
for a different purpose.

00:33:55.490 --> 00:33:59.490 align:middle line:84%
Each one is specialized for
that particular purpose.

00:33:59.490 --> 00:34:02.090 align:middle line:84%
So similarly,
cameras-- right now,

00:34:02.090 --> 00:34:04.710 align:middle line:84%
a camera is a camera
that takes picture,

00:34:04.710 --> 00:34:07.790 align:middle line:84%
whether it's the Hubble, or
whether it is your cell phone

00:34:07.790 --> 00:34:11.210 align:middle line:84%
camera or anything,
or the pill camera.

00:34:11.210 --> 00:34:16.250 align:middle line:84%
The structure and function,
so far, hasn't changed at all.

00:34:16.250 --> 00:34:22.790 align:middle line:84%
And that is where we feel
a dramatic break coming

00:34:22.790 --> 00:34:26.120 align:middle line:84%
in the future because of the
flexibility of the technology,

00:34:26.120 --> 00:34:28.610 align:middle line:84%
because of very
specialized applications,

00:34:28.610 --> 00:34:31.620 align:middle line:84%
very specialized
constraints for things.

00:34:31.620 --> 00:34:35.310 align:middle line:90%
So why if shouldn't there be--

00:34:35.310 --> 00:34:39.659 align:middle line:84%
you can say, just like there
are ASICs, Application Specific

00:34:39.659 --> 00:34:41.699 align:middle line:84%
Integrated Circuits,
why shouldn't there

00:34:41.699 --> 00:34:47.070 align:middle line:84%
be Applications Specific
Imaging Systems, ASIS?

00:34:47.070 --> 00:34:54.719 align:middle line:84%
So [INAUDIBLE] autonomy that
an imaging sensor that decides,

00:34:54.719 --> 00:34:58.170 align:middle line:84%
on its own, without any
manual intervention,

00:34:58.170 --> 00:35:03.620 align:middle line:84%
where to focus on, how
to interrogate the scene?

00:35:03.620 --> 00:35:09.320 align:middle line:84%
And this is sort of reworking
the biological inspiration.

00:35:09.320 --> 00:35:12.380 align:middle line:84%
The cameras are really
replacing the human eye

00:35:12.380 --> 00:35:16.740 align:middle line:84%
with trying to form a similar
kind of representation,

00:35:16.740 --> 00:35:18.950 align:middle line:84%
whether it should go to
the biological world,

00:35:18.950 --> 00:35:25.940 align:middle line:84%
it's a vast array of different
types of imaging sensors.

00:35:25.940 --> 00:35:28.820 align:middle line:84%
It's probably not even proper
to call them imaging sensors.

00:35:28.820 --> 00:35:30.890 align:middle line:84%
They are more like
spatial sensors.

00:35:30.890 --> 00:35:33.260 align:middle line:84%
The most primitive
form, an earthworm

00:35:33.260 --> 00:35:35.750 align:middle line:84%
with a light sensitive
skin that simply

00:35:35.750 --> 00:35:37.370 align:middle line:84%
is able to distinguish
there is more

00:35:37.370 --> 00:35:39.680 align:middle line:84%
light on this side
versus that side

00:35:39.680 --> 00:35:42.260 align:middle line:84%
and can steer
itself accordingly.

00:35:42.260 --> 00:35:47.960 align:middle line:84%
And then a variety of
techniques for the insects

00:35:47.960 --> 00:35:53.360 align:middle line:84%
and other creatures, and
these, their spectral response,

00:35:53.360 --> 00:35:56.990 align:middle line:84%
the processing, the
functionality just exquisitely

00:35:56.990 --> 00:36:00.895 align:middle line:84%
evolved for the specific
evolutionary needs

00:36:00.895 --> 00:36:02.270 align:middle line:84%
of the animal for
their survival.

00:36:02.270 --> 00:36:06.120 align:middle line:90%


00:36:06.120 --> 00:36:09.350 align:middle line:90%
And I don't know if I really--

00:36:09.350 --> 00:36:14.396 align:middle line:84%
I think I would
like to sort of--

00:36:14.396 --> 00:36:18.500 align:middle line:90%
the optics is now getting there.

00:36:18.500 --> 00:36:21.560 align:middle line:84%
[INAUDIBLE] plastic lenses,
diamond [INAUDIBLE],,

00:36:21.560 --> 00:36:24.020 align:middle line:84%
microfabrication,
wafer scale assembly.

00:36:24.020 --> 00:36:26.300 align:middle line:84%
So the grind and
polish technique

00:36:26.300 --> 00:36:28.520 align:middle line:84%
for making optical
elements really

00:36:28.520 --> 00:36:34.910 align:middle line:84%
is, now, relegated to very
high quality specialized.

00:36:34.910 --> 00:36:39.620 align:middle line:84%
And processing embedded in the
cameras, that's the first step

00:36:39.620 --> 00:36:41.630 align:middle line:84%
right now-- red eye
removal, face detection,

00:36:41.630 --> 00:36:43.490 align:middle line:90%
smile detection.

00:36:43.490 --> 00:36:46.490 align:middle line:84%
And this is, of
course, illumination.

00:36:46.490 --> 00:36:50.460 align:middle line:84%
Right now, we are still using
this dumb flash that this goes.

00:36:50.460 --> 00:36:53.510 align:middle line:84%
So spatial temporal
coding of illumination

00:36:53.510 --> 00:36:57.860 align:middle line:84%
in order to enhance your
ability to extract information

00:36:57.860 --> 00:36:59.360 align:middle line:90%
from the scene.

00:36:59.360 --> 00:37:04.220 align:middle line:84%
Different spectral regimes for
exploiting that information.

00:37:04.220 --> 00:37:07.760 align:middle line:84%
And this is some picture
gallery of new optics.

00:37:07.760 --> 00:37:12.260 align:middle line:84%
That's the Kodak microlens
array, folded optics,

00:37:12.260 --> 00:37:16.310 align:middle line:84%
diamond turn optics, and free
form multi scale conformal

00:37:16.310 --> 00:37:17.563 align:middle line:90%
optics.

00:37:17.563 --> 00:37:19.730 align:middle line:84%
RAMESH RASKAR: What do you
use it for, the last one?

00:37:19.730 --> 00:37:20.300 align:middle line:90%
RAVI ATHALE: I'm sorry?

00:37:20.300 --> 00:37:22.460 align:middle line:84%
RAMESH RASKAR: What is
the use of the last one?

00:37:22.460 --> 00:37:26.408 align:middle line:84%
RAVI ATHALE: I don't
if this is any use.

00:37:26.408 --> 00:37:28.028 align:middle line:90%
[STUDENTS LAUGHING]

00:37:28.028 --> 00:37:28.820 align:middle line:90%
STUDENT: It's cool.

00:37:28.820 --> 00:37:29.653 align:middle line:90%
STUDENT: It is cool.

00:37:29.653 --> 00:37:33.260 align:middle line:84%
RAVI ATHALE: Yeah, this is
just a technology that's there.

00:37:33.260 --> 00:37:39.120 align:middle line:84%
You saw, in Charlotte, they
had this machine there.

00:37:39.120 --> 00:37:40.010 align:middle line:90%
They can do this.

00:37:40.010 --> 00:37:42.500 align:middle line:84%
RAMESH RASKAR: They can
etch away optics using it.

00:37:42.500 --> 00:37:44.930 align:middle line:84%
RAVI ATHALE: I think it's
a six degrees of freedom

00:37:44.930 --> 00:37:47.210 align:middle line:84%
machine for turning,
and then you

00:37:47.210 --> 00:37:50.960 align:middle line:84%
can do that on a
conformant surface.

00:37:50.960 --> 00:37:57.020 align:middle line:90%
And these, I think--

00:37:57.020 --> 00:38:01.580 align:middle line:84%
RAMESH RASKAR: Just going
back to your previous comment,

00:38:01.580 --> 00:38:05.810 align:middle line:84%
so everything is
moving in a direction

00:38:05.810 --> 00:38:09.530 align:middle line:84%
where the things are more
programmable, more specialized,

00:38:09.530 --> 00:38:11.260 align:middle line:84%
but in the basic
laws of physics,

00:38:11.260 --> 00:38:12.260 align:middle line:90%
are not going to change.

00:38:12.260 --> 00:38:15.680 align:middle line:84%
You're still going to convert
photons and electrons and so

00:38:15.680 --> 00:38:16.430 align:middle line:90%
on.

00:38:16.430 --> 00:38:20.060 align:middle line:90%
And so are there some--

00:38:20.060 --> 00:38:22.580 align:middle line:84%
if you want to
build an aircraft,

00:38:22.580 --> 00:38:24.710 align:middle line:84%
you're going to use
Bernoulli principle.

00:38:24.710 --> 00:38:27.440 align:middle line:84%
If you're going to
build a vehicle,

00:38:27.440 --> 00:38:29.240 align:middle line:90%
it's Newton's third law.

00:38:29.240 --> 00:38:31.190 align:middle line:84%
It's just going to use
those laws of physics.

00:38:31.190 --> 00:38:31.940 align:middle line:90%
RAVI ATHALE: Yeah.

00:38:31.940 --> 00:38:33.815 align:middle line:84%
RAMESH RASKAR: Is there
something fundamental

00:38:33.815 --> 00:38:37.065 align:middle line:84%
about imaging that we
should be challenging?

00:38:37.065 --> 00:38:39.695 align:middle line:90%


00:38:39.695 --> 00:38:41.945 align:middle line:84%
Oh, should we continue it
as the same laws of physics?

00:38:41.945 --> 00:38:46.190 align:middle line:90%


00:38:46.190 --> 00:38:47.910 align:middle line:84%
RAVI ATHALE: And
what laws of physics?

00:38:47.910 --> 00:38:50.800 align:middle line:84%
I think it may not be like
challenging laws of physics,

00:38:50.800 --> 00:38:53.910 align:middle line:84%
but what are the laws of
physics that we can bend,

00:38:53.910 --> 00:38:56.100 align:middle line:90%
or that are various qualifiers?

00:38:56.100 --> 00:38:58.950 align:middle line:84%
So one of the things
here, resolution

00:38:58.950 --> 00:39:01.470 align:middle line:84%
is limited by the
wavelength of light.

00:39:01.470 --> 00:39:05.580 align:middle line:84%
Yes, as long as you are
in the far field regime,

00:39:05.580 --> 00:39:07.980 align:middle line:84%
as long as you are
in the linear regime,

00:39:07.980 --> 00:39:11.370 align:middle line:84%
you highlight one of these, and
you can do whatever you want.

00:39:11.370 --> 00:39:14.100 align:middle line:84%
If you are proximity near-field
scanning optical microscope,

00:39:14.100 --> 00:39:15.480 align:middle line:84%
you can get as
small as you want.

00:39:15.480 --> 00:39:20.670 align:middle line:84%
But if you have nonlinear,
these fluorescence microscopes,

00:39:20.670 --> 00:39:23.820 align:middle line:84%
you can get 50 nanometer
resolution with visible light.

00:39:23.820 --> 00:39:30.150 align:middle line:84%
So that is some ways in which
you can really carefully

00:39:30.150 --> 00:39:35.070 align:middle line:84%
look at what we consider to
be fundamental limit imposed

00:39:35.070 --> 00:39:37.830 align:middle line:84%
by physics and say,
what is the fine print,

00:39:37.830 --> 00:39:38.850 align:middle line:90%
and can we violate that?

00:39:38.850 --> 00:39:40.765 align:middle line:84%
So that would be very
interesting to look at.

00:39:40.765 --> 00:39:42.390 align:middle line:84%
RAMESH RASKAR: Yeah,
but I mean, can we

00:39:42.390 --> 00:39:45.420 align:middle line:84%
start using our own
bodies as optics?

00:39:45.420 --> 00:39:48.810 align:middle line:84%
Or can we start using
biological principles

00:39:48.810 --> 00:39:56.080 align:middle line:84%
to solve the five w
and one h problems?

00:39:56.080 --> 00:39:59.370 align:middle line:84%
I mean, in the film
world, we actually

00:39:59.370 --> 00:40:01.690 align:middle line:84%
use the chemistry to solve
a lot of the problems.

00:40:01.690 --> 00:40:03.690 align:middle line:84%
Now, somehow we have
forgotten chemistry,

00:40:03.690 --> 00:40:07.200 align:middle line:84%
and we are more back
to the physics now.

00:40:07.200 --> 00:40:08.970 align:middle line:90%
RAVI ATHALE: Yeah, I think--

00:40:08.970 --> 00:40:10.095 align:middle line:90%
I don't know.

00:40:10.095 --> 00:40:12.060 align:middle line:84%
One of the things
I wondered, can we

00:40:12.060 --> 00:40:16.980 align:middle line:84%
have a three dimensional
detector, a volume detector?

00:40:16.980 --> 00:40:21.270 align:middle line:84%
And if we can store it,
what will it record?

00:40:21.270 --> 00:40:22.470 align:middle line:90%
How will we read it out?

00:40:22.470 --> 00:40:25.440 align:middle line:90%
How will we process it?

00:40:25.440 --> 00:40:29.010 align:middle line:84%
Some people have talked
about directly recording

00:40:29.010 --> 00:40:32.160 align:middle line:84%
the coherence function
instead of just measuring

00:40:32.160 --> 00:40:32.970 align:middle line:90%
the intensity.

00:40:32.970 --> 00:40:36.120 align:middle line:90%


00:40:36.120 --> 00:40:40.200 align:middle line:90%
And you can imagine that now--

00:40:40.200 --> 00:40:42.570 align:middle line:84%
of course, you can wave
the wand and say nano,

00:40:42.570 --> 00:40:45.280 align:middle line:84%
and everything goes away
or everything is different.

00:40:45.280 --> 00:40:47.490 align:middle line:84%
But to some extent,
that may be true,

00:40:47.490 --> 00:40:51.900 align:middle line:84%
that if you are able
to control the material

00:40:51.900 --> 00:40:54.660 align:middle line:84%
at deep, deep,
subwavelength level,

00:40:54.660 --> 00:40:58.082 align:middle line:84%
you can do some pretty
ridiculous things.

00:40:58.082 --> 00:41:03.510 align:middle line:84%
So that's the direction that
we haven't really explored.

00:41:03.510 --> 00:41:08.880 align:middle line:84%
And another interesting thing
is that, if you have the ability

00:41:08.880 --> 00:41:14.130 align:middle line:84%
to manipulate matter and control
it at deep subwavelength level,

00:41:14.130 --> 00:41:16.080 align:middle line:84%
then it's really
incumbent on you

00:41:16.080 --> 00:41:20.760 align:middle line:84%
to abandon your other
cherished notions about, oh,

00:41:20.760 --> 00:41:24.570 align:middle line:84%
a spherical lens forming a well
focused image on a focal point.

00:41:24.570 --> 00:41:27.370 align:middle line:84%
Why are you sticking
to that part of it?

00:41:27.370 --> 00:41:31.440 align:middle line:84%
So if you really fully
want to exploit the ability

00:41:31.440 --> 00:41:33.720 align:middle line:84%
to manipulate the
electromagnetic wavefront

00:41:33.720 --> 00:41:38.070 align:middle line:84%
in very novel ways using
very novel materials,

00:41:38.070 --> 00:41:40.290 align:middle line:84%
you should also start
thinking about what are we

00:41:40.290 --> 00:41:44.010 align:middle line:84%
going to measure, and how
are we going to measure it?

00:41:44.010 --> 00:41:47.515 align:middle line:84%
So I don't know if I
answered your question.

00:41:47.515 --> 00:41:49.640 align:middle line:84%
RAMESH RASKAR: Yeah, I
mean, it's an open question.

00:41:49.640 --> 00:41:50.623 align:middle line:90%
[INTERPOSING VOICES]

00:41:50.623 --> 00:41:52.040 align:middle line:84%
RAMESH RASKAR:
Yeah, I don't think

00:41:52.040 --> 00:41:53.670 align:middle line:90%
there's a clear direction.

00:41:53.670 --> 00:41:55.640 align:middle line:84%
But I mean, the
chart that you showed

00:41:55.640 --> 00:42:00.080 align:middle line:84%
earlier of different
stages where biological--

00:42:00.080 --> 00:42:02.570 align:middle line:84%
I mean, not biological,
but human involved,

00:42:02.570 --> 00:42:04.580 align:middle line:84%
and then we got more
and more technological.

00:42:04.580 --> 00:42:06.890 align:middle line:84%
Now, everything that was
blue has become pink.

00:42:06.890 --> 00:42:07.640 align:middle line:90%
RAVI ATHALE: Yeah.

00:42:07.640 --> 00:42:10.250 align:middle line:90%
RAMESH RASKAR: So what's next?

00:42:10.250 --> 00:42:12.740 align:middle line:84%
RAVI ATHALE: I think maybe
just what kind of technologies?

00:42:12.740 --> 00:42:15.830 align:middle line:84%
I mean, you can think of
some of the things like,

00:42:15.830 --> 00:42:18.830 align:middle line:84%
can we think of
self-assembled imaging sensors

00:42:18.830 --> 00:42:20.750 align:middle line:84%
that are not
lithographically driven

00:42:20.750 --> 00:42:23.880 align:middle line:84%
or that are not
mechanically assembled?

00:42:23.880 --> 00:42:24.380 align:middle line:90%
Yeah.

00:42:24.380 --> 00:42:26.930 align:middle line:90%


00:42:26.930 --> 00:42:28.460 align:middle line:90%
I don't know what else.

00:42:28.460 --> 00:42:31.730 align:middle line:84%
RAMESH RASKAR: It's like the
discussion on similarity.

00:42:31.730 --> 00:42:34.160 align:middle line:84%
It's almost easier to
say it's coming tomorrow,

00:42:34.160 --> 00:42:36.410 align:middle line:84%
but when you go back, it
seems like a lot of stuff

00:42:36.410 --> 00:42:43.220 align:middle line:84%
has to happen before we
reach that point of--

00:42:43.220 --> 00:42:44.085 align:middle line:90%
[INTERPOSING VOICES]

00:42:44.085 --> 00:42:46.460 align:middle line:84%
RAVI ATHALE: And many of the
turning points in technology

00:42:46.460 --> 00:42:48.200 align:middle line:84%
are turning points
only in retrospect.

00:42:48.200 --> 00:42:49.010 align:middle line:90%
RAMESH RASKAR: Yes.

00:42:49.010 --> 00:42:52.250 align:middle line:84%
RAVI ATHALE: So you say, ha,
that was the day world changed.

00:42:52.250 --> 00:42:54.080 align:middle line:84%
You didn't realize
that time, but--

00:42:54.080 --> 00:42:57.200 align:middle line:84%
I mean, the 40 year
anniversary of the internet,

00:42:57.200 --> 00:43:00.320 align:middle line:84%
and there was a story about
what was the first message sent?

00:43:00.320 --> 00:43:02.330 align:middle line:90%
First message was "log in."

00:43:02.330 --> 00:43:04.640 align:middle line:84%
And after L-O-G, the
computers crashed,

00:43:04.640 --> 00:43:06.140 align:middle line:90%
and they had to reboot.

00:43:06.140 --> 00:43:07.765 align:middle line:84%
And so they asked
the person from UCLA,

00:43:07.765 --> 00:43:09.598 align:middle line:84%
so what did you do after
you send a message?

00:43:09.598 --> 00:43:11.120 align:middle line:84%
Oh, I went, had a
burger, and went

00:43:11.120 --> 00:43:15.138 align:middle line:84%
to sleep because they didn't
know that revolutionized

00:43:15.138 --> 00:43:15.680 align:middle line:90%
or something.

00:43:15.680 --> 00:43:17.060 align:middle line:90%
It's only in retrospect.

00:43:17.060 --> 00:43:20.000 align:middle line:90%


00:43:20.000 --> 00:43:24.950 align:middle line:84%
And these are some
interesting examples just

00:43:24.950 --> 00:43:27.630 align:middle line:84%
to say application
specific imaging,

00:43:27.630 --> 00:43:33.560 align:middle line:84%
and this is one example from
a surgeon in Naval Medical

00:43:33.560 --> 00:43:34.610 align:middle line:90%
Center.

00:43:34.610 --> 00:43:38.570 align:middle line:84%
They're using the three CCD
camera on a laparoscopic tower,

00:43:38.570 --> 00:43:41.150 align:middle line:84%
and basically, his
point is that, when

00:43:41.150 --> 00:43:43.310 align:middle line:84%
you are doing surgery,
it's really important

00:43:43.310 --> 00:43:46.610 align:middle line:84%
to know which is the artery
and which is the vein.

00:43:46.610 --> 00:43:48.380 align:middle line:90%
You treat it very differently.

00:43:48.380 --> 00:43:50.450 align:middle line:90%
And you start off, say--

00:43:50.450 --> 00:43:53.090 align:middle line:90%
I mean, hey, color coding wires.

00:43:53.090 --> 00:43:58.380 align:middle line:84%
Unfortunately, in the body,
it's not that straightforward.

00:43:58.380 --> 00:44:05.720 align:middle line:84%
So taking these three colors
and then doing the processing,

00:44:05.720 --> 00:44:09.590 align:middle line:84%
and using many of the
things that you saw here,

00:44:09.590 --> 00:44:11.130 align:middle line:90%
that you can really--

00:44:11.130 --> 00:44:14.810 align:middle line:84%
a very distinct spectrum for
the hemoglobin and oxygenated

00:44:14.810 --> 00:44:15.750 align:middle line:90%
hemoglobin.

00:44:15.750 --> 00:44:18.800 align:middle line:84%
And so by doing the processing,
you create that map,

00:44:18.800 --> 00:44:22.340 align:middle line:90%
and you project it back.

00:44:22.340 --> 00:44:23.600 align:middle line:90%
You show it.

00:44:23.600 --> 00:44:29.540 align:middle line:84%
Veins are colored blue, and
the arteries are colored red.

00:44:29.540 --> 00:44:32.160 align:middle line:84%
Now, here in this
particular case,

00:44:32.160 --> 00:44:34.700 align:middle line:84%
the surgeon looks at the
monitor and says, ah,

00:44:34.700 --> 00:44:37.740 align:middle line:84%
this is the one that I should
be careful about, or whatever.

00:44:37.740 --> 00:44:40.370 align:middle line:90%
But then some of the things--

00:44:40.370 --> 00:44:41.930 align:middle line:90%
I don't know.

00:44:41.930 --> 00:44:45.500 align:middle line:84%
How many of you have seen
this thing called Vein Viewer?

00:44:45.500 --> 00:44:47.210 align:middle line:90%
Have you seen the product?

00:44:47.210 --> 00:44:54.180 align:middle line:84%
I don't if there is a wireless
connection is good enough.

00:44:54.180 --> 00:44:54.680 align:middle line:90%
We'll see.

00:44:54.680 --> 00:44:56.300 align:middle line:90%
It might be working.

00:44:56.300 --> 00:44:56.890 align:middle line:90%
Yeah.

00:44:56.890 --> 00:44:58.417 align:middle line:90%
[INTERPOSING VOICES]

00:44:58.417 --> 00:44:59.750 align:middle line:90%
RAVI ATHALE: You have seen that?

00:44:59.750 --> 00:45:08.140 align:middle line:90%


00:45:08.140 --> 00:45:10.510 align:middle line:84%
And if you look
at the technology,

00:45:10.510 --> 00:45:14.220 align:middle line:84%
it is just absolutely
stupid technically.

00:45:14.220 --> 00:45:18.880 align:middle line:84%
It's 780 nanometer light
illumination that you do that,

00:45:18.880 --> 00:45:23.260 align:middle line:84%
and that penetrates the skin
and is absorbed by your blood.

00:45:23.260 --> 00:45:25.870 align:middle line:84%
And so you can see
the veins deep inside,

00:45:25.870 --> 00:45:28.970 align:middle line:84%
and the beauty about this
is a camera is up there,

00:45:28.970 --> 00:45:30.610 align:middle line:90%
and so is a DLP projector.

00:45:30.610 --> 00:45:34.540 align:middle line:84%
And the processor basically
scales and aligns the images

00:45:34.540 --> 00:45:39.370 align:middle line:84%
so that it is projected back
exactly aligned like that.

00:45:39.370 --> 00:45:41.412 align:middle line:90%
But the use is phenomenal.

00:45:41.412 --> 00:45:43.120 align:middle line:84%
RAMESH RASKAR: Yeah,
it's one of the best

00:45:43.120 --> 00:45:44.315 align:middle line:90%
forms of augmented reality.

00:45:44.315 --> 00:45:45.190 align:middle line:90%
RAVI ATHALE: Exactly.

00:45:45.190 --> 00:45:48.040 align:middle line:84%
RAMESH RASKAR: So I always
show it in my augmented reality

00:45:48.040 --> 00:45:49.090 align:middle line:90%
presentations.

00:45:49.090 --> 00:45:51.720 align:middle line:90%


00:45:51.720 --> 00:45:54.560 align:middle line:84%
RAVI ATHALE: Yeah, and I think
the rest of the thing may be--

00:45:54.560 --> 00:45:59.690 align:middle line:90%


00:45:59.690 --> 00:46:01.340 align:middle line:90%
I was talking to Ramesh.

00:46:01.340 --> 00:46:07.190 align:middle line:84%
This is Doug Hart's company,
Brontes Technology for the 3D.

00:46:07.190 --> 00:46:07.967 align:middle line:90%
I think you saw--

00:46:07.967 --> 00:46:09.050 align:middle line:90%
RAMESH RASKAR: We saw it--

00:46:09.050 --> 00:46:12.620 align:middle line:84%
RAVI ATHALE: You saw
that, and [INAUDIBLE]

00:46:12.620 --> 00:46:14.420 align:middle line:90%
chair side oral scanners.

00:46:14.420 --> 00:46:16.190 align:middle line:90%
I think there was a video.

00:46:16.190 --> 00:46:19.028 align:middle line:84%
Did you see that video of the
doctor manipulating in the--

00:46:19.028 --> 00:46:20.570 align:middle line:84%
RAMESH RASKAR: Did
it show the video?

00:46:20.570 --> 00:46:21.320 align:middle line:90%
I don't remember.

00:46:21.320 --> 00:46:23.630 align:middle line:90%
[INAUDIBLE]?

00:46:23.630 --> 00:46:24.180 align:middle line:90%
I forget.

00:46:24.180 --> 00:46:25.263 align:middle line:90%
RAVI ATHALE: I don't know.

00:46:25.263 --> 00:46:26.270 align:middle line:90%
It's not that important.

00:46:26.270 --> 00:46:27.355 align:middle line:90%
You know what it is--

00:46:27.355 --> 00:46:29.480 align:middle line:84%
RAMESH RASKAR: Yeah, it's
amazing how simple it is.

00:46:29.480 --> 00:46:31.460 align:middle line:84%
RAVI ATHALE: Yeah,
and I think, this

00:46:31.460 --> 00:46:34.100 align:middle line:84%
is one of the
things that maybe--

00:46:34.100 --> 00:46:35.810 align:middle line:84%
and the refocus
imaging, of course.

00:46:35.810 --> 00:46:38.940 align:middle line:84%
You don't need to, right now,
know anything more about it.

00:46:38.940 --> 00:46:43.220 align:middle line:84%
But in some ways, when
you talk about application

00:46:43.220 --> 00:46:48.110 align:middle line:84%
specific cameras, the
key is understanding

00:46:48.110 --> 00:46:51.575 align:middle line:84%
the nature of the problem and
finding the simplest solution

00:46:51.575 --> 00:46:53.970 align:middle line:90%
to that specific problem.

00:46:53.970 --> 00:46:57.740 align:middle line:84%
And one of the examples, you
saw that Vein Viewer, all of you

00:46:57.740 --> 00:47:01.040 align:middle line:84%
know the pulse oximeter that
is clipped to your finger.

00:47:01.040 --> 00:47:02.120 align:middle line:90%
It's relatively new.

00:47:02.120 --> 00:47:05.948 align:middle line:84%
I think maybe 20, 25
years old technology.

00:47:05.948 --> 00:47:07.490 align:middle line:84%
Again, if you look
at the technology,

00:47:07.490 --> 00:47:10.280 align:middle line:84%
it's absolutely dirt
simple technology.

00:47:10.280 --> 00:47:12.980 align:middle line:84%
Two different ladies looking at
the differentiable absorption

00:47:12.980 --> 00:47:15.410 align:middle line:84%
through your finger to
measure the oxygenation

00:47:15.410 --> 00:47:16.880 align:middle line:90%
level of the blood.

00:47:16.880 --> 00:47:19.890 align:middle line:84%
And before, they had to draw the
blood and send it for analysis,

00:47:19.890 --> 00:47:22.520 align:middle line:84%
and by the time it came back,
maybe bad things happened.

00:47:22.520 --> 00:47:27.050 align:middle line:84%
But this one is now, you saw
in all the TV shows anywhere,

00:47:27.050 --> 00:47:29.270 align:middle line:84%
the first thing they do is
clip this on your finger.

00:47:29.270 --> 00:47:31.658 align:middle line:84%
And I don't know
how much it costs--

00:47:31.658 --> 00:47:33.200 align:middle line:84%
RAMESH RASKAR: It
still costs $1,000.

00:47:33.200 --> 00:47:33.908 align:middle line:90%
I don't know why.

00:47:33.908 --> 00:47:36.158 align:middle line:84%
RAVI ATHALE: Because somebody's
making a lot of money.

00:47:36.158 --> 00:47:36.740 align:middle line:90%
That's why.

00:47:36.740 --> 00:47:37.452 align:middle line:90%
I think--

00:47:37.452 --> 00:47:38.690 align:middle line:90%
STUDENT: They have a patent.

00:47:38.690 --> 00:47:40.400 align:middle line:90%
RAVI ATHALE: Yeah.

00:47:40.400 --> 00:47:44.330 align:middle line:84%
But that's some of
the research projects

00:47:44.330 --> 00:47:46.760 align:middle line:84%
that I was involved
in monitoring.

00:47:46.760 --> 00:47:50.420 align:middle line:84%
To talk about, can
you do a spacial map

00:47:50.420 --> 00:47:54.410 align:middle line:84%
of oxygenation levels using
these multi spectral cameras

00:47:54.410 --> 00:47:55.790 align:middle line:90%
and then processing?

00:47:55.790 --> 00:47:57.650 align:middle line:84%
And the doctors
got really excited

00:47:57.650 --> 00:48:02.390 align:middle line:84%
for applications
like burn assessment,

00:48:02.390 --> 00:48:04.610 align:middle line:84%
whether it's a first or
second or third degree burn.

00:48:04.610 --> 00:48:07.340 align:middle line:84%
The treatment
differs dramatically,

00:48:07.340 --> 00:48:11.630 align:middle line:84%
and instead of relying on the
doctor's visual assessment

00:48:11.630 --> 00:48:16.100 align:middle line:84%
of what degree burn it is,
if you can take a camera that

00:48:16.100 --> 00:48:20.330 align:middle line:84%
can do that blood
oxygenation map,

00:48:20.330 --> 00:48:25.370 align:middle line:84%
or if you can map
the retina and a lot

00:48:25.370 --> 00:48:28.420 align:middle line:84%
of the diabetic retinopathy
and other diseases,

00:48:28.420 --> 00:48:33.260 align:middle line:84%
there are precursors are
in, what is the oxygenation

00:48:33.260 --> 00:48:35.090 align:middle line:90%
level of the blood [INAUDIBLE].

00:48:35.090 --> 00:48:38.120 align:middle line:84%
So these kind of things,
just like the distinction

00:48:38.120 --> 00:48:42.410 align:middle line:84%
between arteries and veins or
the Vein Viewer and all that--

00:48:42.410 --> 00:48:46.100 align:middle line:84%
you don't need to invent new
nanotechnologies or something.

00:48:46.100 --> 00:48:48.860 align:middle line:84%
You need to understand in
depth what the problem is

00:48:48.860 --> 00:48:50.550 align:middle line:90%
and what the human factors is.

00:48:50.550 --> 00:48:52.760 align:middle line:90%
Again, this thing, Vein Viewer--

00:48:52.760 --> 00:48:57.140 align:middle line:84%
the cool thing is
not just that IR LED,

00:48:57.140 --> 00:49:00.830 align:middle line:84%
but you can imagine
everything else the same

00:49:00.830 --> 00:49:03.530 align:middle line:84%
except that image
being shown on TV,

00:49:03.530 --> 00:49:06.320 align:middle line:84%
and it will nowhere
be as dramatic

00:49:06.320 --> 00:49:08.900 align:middle line:84%
if the doctor has to
manipulate the needle here

00:49:08.900 --> 00:49:10.190 align:middle line:90%
while looking at the monitor.

00:49:10.190 --> 00:49:12.710 align:middle line:84%
It's a human factor,
so right there.

00:49:12.710 --> 00:49:17.090 align:middle line:90%
So that that's really where--

00:49:17.090 --> 00:49:18.960 align:middle line:90%
so this is the last slide.

00:49:18.960 --> 00:49:24.920 align:middle line:84%
So just a little bit science
fantasy, not just fiction.

00:49:24.920 --> 00:49:27.050 align:middle line:84%
A personal imaging
assistant, something

00:49:27.050 --> 00:49:29.690 align:middle line:84%
that just like you carry
your pen every day,

00:49:29.690 --> 00:49:33.150 align:middle line:84%
or your wallet or credit
card or your cell phone.

00:49:33.150 --> 00:49:36.260 align:middle line:84%
The personal imaging assistant--
what all would it do?

00:49:36.260 --> 00:49:37.820 align:middle line:90%
Health care.

00:49:37.820 --> 00:49:39.770 align:middle line:84%
Checking for sunburns,
or if you get

00:49:39.770 --> 00:49:43.340 align:middle line:84%
scraped, hey, is it getting
infected, this wound?

00:49:43.340 --> 00:49:44.420 align:middle line:90%
You have an attachment?

00:49:44.420 --> 00:49:48.380 align:middle line:84%
You check the ear infection
of your children or whatever.

00:49:48.380 --> 00:49:49.640 align:middle line:90%
Look at your tongue.

00:49:49.640 --> 00:49:52.640 align:middle line:90%
Are you getting upset stomach?

00:49:52.640 --> 00:49:56.180 align:middle line:84%
Wardrobe matching, of course,
color and styles, especially.

00:49:56.180 --> 00:49:59.990 align:middle line:84%
What kind of makeup will go
with this, and other things.

00:49:59.990 --> 00:50:02.330 align:middle line:84%
Hygiene, cleanliness
of surroundings,

00:50:02.330 --> 00:50:07.190 align:middle line:84%
presence of bacteria, water/food
safety, quality of what--

00:50:07.190 --> 00:50:09.950 align:middle line:84%
The last one, it's really
getting a little bit science

00:50:09.950 --> 00:50:13.370 align:middle line:84%
fictiony, but maybe not
given that sixth sense thing.

00:50:13.370 --> 00:50:16.430 align:middle line:84%
So you're wearing these glasses,
or this personal [INAUDIBLE]

00:50:16.430 --> 00:50:19.130 align:middle line:84%
assistant with a headphone,
and somebody walks--

00:50:19.130 --> 00:50:20.540 align:middle line:90%
Hey, Ramesh, how are you?

00:50:20.540 --> 00:50:24.470 align:middle line:84%
Somebody, this
person, [INAUDIBLE]

00:50:24.470 --> 00:50:25.940 align:middle line:84%
It's like the
politicians who have

00:50:25.940 --> 00:50:30.170 align:middle line:84%
these assistants at their elbow
who whisper in their ears who

00:50:30.170 --> 00:50:34.250 align:middle line:84%
is the person walking in,
and discerning move, that's

00:50:34.250 --> 00:50:36.260 align:middle line:90%
again very science fictiony.

00:50:36.260 --> 00:50:38.450 align:middle line:90%
Can the image tell you that?

00:50:38.450 --> 00:50:39.620 align:middle line:90%
This guy is very skeptical.

00:50:39.620 --> 00:50:43.190 align:middle line:84%
He's not buying anything
[INAUDIBLE] of course,

00:50:43.190 --> 00:50:45.800 align:middle line:84%
taking pictures, and
how it's basically

00:50:45.800 --> 00:50:49.640 align:middle line:84%
exploit the electromagnetic
domain to the hilt.

00:50:49.640 --> 00:50:56.170 align:middle line:84%
Combine the processing right
there and have an adaptive--

00:50:56.170 --> 00:50:58.370 align:middle line:90%
one analogy that people make.

00:50:58.370 --> 00:51:02.480 align:middle line:84%
Right now, it's a sensor with
a total one directional flow

00:51:02.480 --> 00:51:06.020 align:middle line:84%
of information from the
sensor to the processor to it.

00:51:06.020 --> 00:51:07.970 align:middle line:90%
How about going back?

00:51:07.970 --> 00:51:14.270 align:middle line:84%
I heard somewhere about human
visual pathways from the retina

00:51:14.270 --> 00:51:16.700 align:middle line:84%
to the lateral
geniculate nucleus to V1

00:51:16.700 --> 00:51:19.280 align:middle line:84%
and all the inferior
temporal cortex and all that.

00:51:19.280 --> 00:51:21.860 align:middle line:84%
Everybody analyzes
that feedforward

00:51:21.860 --> 00:51:24.530 align:middle line:84%
and what kind of
features are extracted.

00:51:24.530 --> 00:51:26.930 align:middle line:84%
And I heard that from
V1 to [INAUDIBLE],,

00:51:26.930 --> 00:51:30.080 align:middle line:84%
there is a huge amount
of feedback connection.

00:51:30.080 --> 00:51:31.880 align:middle line:90%
What's the role of that?

00:51:31.880 --> 00:51:36.400 align:middle line:84%
I don't think the
neuroscientists know yet.

00:51:36.400 --> 00:51:38.630 align:middle line:90%
But that kind of a thing--

00:51:38.630 --> 00:51:41.720 align:middle line:84%
an imaging sensor that
analyzes the scene,

00:51:41.720 --> 00:51:46.220 align:middle line:84%
says now, next, I should
look in this direction,

00:51:46.220 --> 00:51:48.680 align:middle line:84%
in this spectral domain,
this place of something.

00:51:48.680 --> 00:51:52.280 align:middle line:84%
And in a few of
these adaptive steps,

00:51:52.280 --> 00:51:56.510 align:middle line:84%
can learn a hell of a lot
about what is out there.

00:51:56.510 --> 00:52:00.230 align:middle line:84%
So last thing, unobtrusive
or most covert form factor,

00:52:00.230 --> 00:52:02.330 align:middle line:84%
and it's literally part
of getting dressed.

00:52:02.330 --> 00:52:04.280 align:middle line:84%
Just like carry your
wallet, your cell

00:52:04.280 --> 00:52:06.530 align:middle line:84%
phone, carry your
imaging assistant

00:52:06.530 --> 00:52:08.690 align:middle line:84%
that can do all of
these things for you.

00:52:08.690 --> 00:52:10.190 align:middle line:84%
RAMESH RASKAR: But
what form factor?

00:52:10.190 --> 00:52:12.170 align:middle line:90%
Is it in the clothing or is it--

00:52:12.170 --> 00:52:15.050 align:middle line:84%
RAVI ATHALE: That's
interesting in your eyeglasses,

00:52:15.050 --> 00:52:17.330 align:middle line:90%
eyewear kind of a product.

00:52:17.330 --> 00:52:20.690 align:middle line:84%
Or I was, this morning
at [INAUDIBLE],,

00:52:20.690 --> 00:52:25.490 align:middle line:84%
I was looking at some of these
glossy magazines for Army,

00:52:25.490 --> 00:52:27.740 align:middle line:84%
and I noticed that
all the soldiers

00:52:27.740 --> 00:52:31.580 align:middle line:84%
in Iraq and Afghanistan, their
helmet had something there.

00:52:31.580 --> 00:52:33.200 align:middle line:90%
And I asked what is this?

00:52:33.200 --> 00:52:35.510 align:middle line:84%
They said, of course,
it's a video camera,

00:52:35.510 --> 00:52:38.630 align:middle line:84%
so it's part of a standard
military equipment.

00:52:38.630 --> 00:52:43.580 align:middle line:84%
So I don't know how
unobtrusive you can make it.

00:52:43.580 --> 00:52:45.020 align:middle line:90%
Is it in the clothing?

00:52:45.020 --> 00:52:50.418 align:middle line:84%
Is it something that you clip
on your shirt, or is it here?

00:52:50.418 --> 00:52:51.710 align:middle line:90%
Hey, you are in the media labs.

00:52:51.710 --> 00:52:52.460 align:middle line:90%
You figure it out.

00:52:52.460 --> 00:52:55.160 align:middle line:90%


00:52:55.160 --> 00:52:56.540 align:middle line:90%
So well, that's it.

00:52:56.540 --> 00:52:57.080 align:middle line:90%
Thank you.

00:52:57.080 --> 00:53:01.457 align:middle line:90%


00:53:01.457 --> 00:53:03.040 align:middle line:84%
RAMESH RASKAR: Any
questions for Ravi?

00:53:03.040 --> 00:53:08.380 align:middle line:90%


00:53:08.380 --> 00:53:11.110 align:middle line:84%
And we can make your
slides available?

00:53:11.110 --> 00:53:11.860 align:middle line:90%
RAVI ATHALE: Yeah.

00:53:11.860 --> 00:53:12.980 align:middle line:90%
RAMESH RASKAR: OK.

00:53:12.980 --> 00:53:14.230 align:middle line:90%
STUDENT: Can I ask a question?

00:53:14.230 --> 00:53:15.280 align:middle line:90%
RAMESH RASKAR: Yes.

00:53:15.280 --> 00:53:17.620 align:middle line:84%
STUDENT: So there
is this problem

00:53:17.620 --> 00:53:20.980 align:middle line:84%
in biometrics that
you want to capture--

00:53:20.980 --> 00:53:26.290 align:middle line:84%
where you want to recognize a
person at a distance, and maybe

00:53:26.290 --> 00:53:30.100 align:middle line:84%
they are pushing programs of
iris at a distance or face

00:53:30.100 --> 00:53:34.670 align:middle line:84%
recognition at a distance in
[INAUDIBLE] things like that.

00:53:34.670 --> 00:53:37.240 align:middle line:84%
And there are two
problems in this.

00:53:37.240 --> 00:53:40.720 align:middle line:84%
One is atmosphere between
the subject and you,

00:53:40.720 --> 00:53:44.350 align:middle line:90%
and the other is subject is--

00:53:44.350 --> 00:53:46.640 align:middle line:84%
he does not want you
to recognize him.

00:53:46.640 --> 00:53:48.520 align:middle line:90%
He's uncooperative.

00:53:48.520 --> 00:53:50.410 align:middle line:84%
What would be your
ideas in terms

00:53:50.410 --> 00:53:55.960 align:middle line:84%
of how our image sensors should
go to capture that problem?

00:53:55.960 --> 00:53:57.890 align:middle line:84%
Because if we have
a really good image,

00:53:57.890 --> 00:54:00.160 align:middle line:84%
then we can run our
recognition algorithms,

00:54:00.160 --> 00:54:02.890 align:middle line:84%
and then we can focus
more on recognition aspect

00:54:02.890 --> 00:54:08.560 align:middle line:84%
rather than dealing with
issues like atmospheric issues

00:54:08.560 --> 00:54:09.490 align:middle line:90%
and stuff like that.

00:54:09.490 --> 00:54:13.738 align:middle line:90%


00:54:13.738 --> 00:54:16.450 align:middle line:84%
RAVI ATHALE: And that's
a very broad question.

00:54:16.450 --> 00:54:19.690 align:middle line:84%
It also touches upon some
very sensitive topics,

00:54:19.690 --> 00:54:21.550 align:middle line:90%
as you can imagine.

00:54:21.550 --> 00:54:26.260 align:middle line:84%
All I can say is that that
program announcement is public.

00:54:26.260 --> 00:54:26.770 align:middle line:90%
Right?

00:54:26.770 --> 00:54:27.430 align:middle line:90%
RAVI ATHALE: That is--

00:54:27.430 --> 00:54:29.763 align:middle line:84%
STUDENT: [INAUDIBLE] not the
only one that's interested.

00:54:29.763 --> 00:54:33.425 align:middle line:90%
[INAUDIBLE]

00:54:33.425 --> 00:54:35.800 align:middle line:84%
RAVI ATHALE: There are all
kinds of agencies interested--

00:54:35.800 --> 00:54:36.978 align:middle line:90%
[INTERPOSING VOICES]

00:54:36.978 --> 00:54:39.520 align:middle line:84%
RAVI ATHALE: Yeah, there is a
program enhancement called Best

00:54:39.520 --> 00:54:42.957 align:middle line:84%
Biometric Exploitation
sponsored by--

00:54:42.957 --> 00:54:44.290 align:middle line:90%
STUDENT: Biometric exploitation?

00:54:44.290 --> 00:54:45.850 align:middle line:84%
RAVI ATHALE: Science
and technology.

00:54:45.850 --> 00:54:49.810 align:middle line:84%
Out of this agency called IARPA,
Intelligence Advanced Research

00:54:49.810 --> 00:54:51.520 align:middle line:90%
Projects Agency.

00:54:51.520 --> 00:54:54.580 align:middle line:84%
It's a multidimensional
problem, and there are all kinds

00:54:54.580 --> 00:54:56.110 align:middle line:90%
of ideas that are proposed.

00:54:56.110 --> 00:55:01.270 align:middle line:84%
Hopefully, within few months,
the contracts will be awarded.

00:55:01.270 --> 00:55:04.400 align:middle line:90%
We'll find out what.

00:55:04.400 --> 00:55:07.200 align:middle line:84%
But I think somewhat
going beyond that,

00:55:07.200 --> 00:55:08.810 align:middle line:84%
I think really in
imaging senses--

00:55:08.810 --> 00:55:12.170 align:middle line:84%
and this is a debate that
we are constantly having.

00:55:12.170 --> 00:55:16.710 align:middle line:84%
Is it necessary
to form an image?

00:55:16.710 --> 00:55:20.450 align:middle line:84%
And if you don't form
an image, if you just

00:55:20.450 --> 00:55:23.838 align:middle line:84%
map directly into features,
number one, can you do that?

00:55:23.838 --> 00:55:25.130 align:middle line:90%
Number two, should you do that?

00:55:25.130 --> 00:55:27.350 align:middle line:84%
Is it advantageous in
some form or fashion?

00:55:27.350 --> 00:55:30.080 align:middle line:90%


00:55:30.080 --> 00:55:32.870 align:middle line:84%
It applies to
biometrics as well.

00:55:32.870 --> 00:55:38.490 align:middle line:84%
Right now, for iris recognition,
there is the dogman algorithm.

00:55:38.490 --> 00:55:42.920 align:middle line:84%
So that is geared upon
you sampling the iris

00:55:42.920 --> 00:55:45.840 align:middle line:84%
at a certain resolution
in a certain way.

00:55:45.840 --> 00:55:48.890 align:middle line:84%
But if you tie the
front end acquisition

00:55:48.890 --> 00:55:53.750 align:middle line:84%
to the exploitation, could you
get into a more robust, simpler

00:55:53.750 --> 00:55:56.160 align:middle line:90%
system?

00:55:56.160 --> 00:55:59.670 align:middle line:84%
That's an interesting
question, but it's

00:55:59.670 --> 00:56:04.140 align:middle line:84%
a little difficult for sponsors
to launch in that direction

00:56:04.140 --> 00:56:07.440 align:middle line:84%
because too much risk, and if
something changes on one side,

00:56:07.440 --> 00:56:11.330 align:middle line:90%
the whole thing may collapse.

00:56:11.330 --> 00:56:13.830 align:middle line:90%
But that's an interesting point.

00:56:13.830 --> 00:56:15.750 align:middle line:84%
STUDENT: Yeah, I think
the point I'd make

00:56:15.750 --> 00:56:20.310 align:middle line:84%
is that, as long as you
continue to rely on collecting

00:56:20.310 --> 00:56:25.290 align:middle line:84%
a high quality image to do this,
I think doing it at a distance

00:56:25.290 --> 00:56:26.940 align:middle line:90%
is going to pose a challenge.

00:56:26.940 --> 00:56:29.460 align:middle line:84%
And the dogman algorithm
is a perfect example.

00:56:29.460 --> 00:56:31.712 align:middle line:84%
You start out with
an image that's

00:56:31.712 --> 00:56:33.420 align:middle line:84%
several hundred
kilobytes, and you end up

00:56:33.420 --> 00:56:36.760 align:middle line:84%
with a template that's
a couple 100 bytes.

00:56:36.760 --> 00:56:39.420 align:middle line:84%
So obviously, you don't
need all that data

00:56:39.420 --> 00:56:42.030 align:middle line:84%
that you collected in
that high resolution image

00:56:42.030 --> 00:56:44.940 align:middle line:84%
to do iris
recognition, so why do

00:56:44.940 --> 00:56:49.080 align:middle line:84%
you need to start with that
image in the first place?

00:56:49.080 --> 00:56:53.240 align:middle line:84%
And if you could develop a
compressed representation,

00:56:53.240 --> 00:56:57.980 align:middle line:84%
if you could sense that
compressed representation

00:56:57.980 --> 00:57:00.890 align:middle line:84%
directly, would it lead
to a simpler system?

00:57:00.890 --> 00:57:03.080 align:middle line:84%
Would it lead to a simpler
and more robust system?

00:57:03.080 --> 00:57:07.070 align:middle line:84%
That last question is
very tricky to answer,

00:57:07.070 --> 00:57:10.400 align:middle line:84%
and the three of
us said [INAUDIBLE]

00:57:10.400 --> 00:57:13.730 align:middle line:84%
when he was with us four of us
[INAUDIBLE] gone over this over

00:57:13.730 --> 00:57:18.380 align:middle line:84%
and over, and we still
haven't come to a conclusion.

00:57:18.380 --> 00:57:19.240 align:middle line:90%
STUDENT: Thanks.

00:57:19.240 --> 00:57:19.990 align:middle line:90%
RAVI ATHALE: Sure.

00:57:19.990 --> 00:57:20.823 align:middle line:90%
RAMESH RASKAR: Good.

00:57:20.823 --> 00:57:26.260 align:middle line:84%
So hopefully, as you already
saw, a lot of the project plans

00:57:26.260 --> 00:57:28.870 align:middle line:90%
are also about not--

00:57:28.870 --> 00:57:32.290 align:middle line:84%
not about standard cameras and
then exploiting specialization

00:57:32.290 --> 00:57:36.278 align:middle line:84%
and autonomy and trying to
change a lot of the rules here.

00:57:36.278 --> 00:57:37.820 align:middle line:84%
RAVI ATHALE: And as
a matter of fact,

00:57:37.820 --> 00:57:41.830 align:middle line:84%
many of the projects we looked
at each other and said, hm,

00:57:41.830 --> 00:57:43.860 align:middle line:84%
should be talking
to these people?

00:57:43.860 --> 00:57:45.610 align:middle line:84%
STUDENT: I'm going to
come back and visit.

00:57:45.610 --> 00:57:46.570 align:middle line:90%
RAVI ATHALE: Yeah, exactly.

00:57:46.570 --> 00:57:47.110 align:middle line:90%
RAMESH RASKAR: Yeah, welcome--

00:57:47.110 --> 00:57:49.810 align:middle line:84%
you're welcome to sign up
as a mentor for the class.

00:57:49.810 --> 00:57:51.850 align:middle line:84%
So we have several
mentors for the class,

00:57:51.850 --> 00:57:53.810 align:middle line:84%
and you're welcome
to sign up for that.

00:57:53.810 --> 00:57:57.880 align:middle line:84%
So excellent, so next week
we have the midterm exam.

00:57:57.880 --> 00:58:01.720 align:middle line:84%
It's open book, open laptop,
open internet, open everything,

00:58:01.720 --> 00:58:04.220 align:middle line:90%
so don't study for it.

00:58:04.220 --> 00:58:07.180 align:middle line:84%
And it will be mostly about
drawing diagrams and explaining

00:58:07.180 --> 00:58:11.590 align:middle line:84%
things and problems that
will make you think.

00:58:11.590 --> 00:58:14.050 align:middle line:84%
And eventually,
after that, we'll

00:58:14.050 --> 00:58:17.835 align:middle line:84%
be studying animal
eyes, which is

00:58:17.835 --> 00:58:21.650 align:middle line:90%
[INAUDIBLE] 13th of November.