Lecture Notes | Computational Camera and Photography | Media Arts and Sciences | MIT OpenCourseWare

Course Info

Instructor

Prof. Ramesh Raskar

Departments

Media Arts and Sciences

As Taught In

Fall 2009

Level

Graduate

Topics

Engineering
- Computer Science
  - Graphics and Visualization
- Electrical Engineering
  - Signal Processing
Fine Arts
- Media Studies
  - Digital Media
- Visual Arts
  - Photography

Learning Resource Types

Lecture Audio

Problem Sets

Lecture Notes

Projects with Examples

Programming Assignments

Download Course

Lecture Notes

Animal Eyes

Cameras We Cannot Picture

Coded imaging

Computational Illumination

Computational Illumination

Computational Imaging: A Survey of Medical and Scientific Applications

Epsilon Photography-Improving Film-like Photography

Improving Film-Like Photography: aka, Epsilon Photography

Introduction to Light Fields

Modern optics and lenses; ray-matrix operations; context enhanced imaging

New Directions in Imaging Sensors

Photography Wishlist

Retrographic Sensing for the Measurement of Surface Texture and Shape

Single-shot Multidomain Camera

Survey of Hyperspectral Imaging Techniques

Wavelengths and Colors

Lightfields, part 1

Lecture 2 Notes

Lightfields, part 2

Class 6: Cameras for HCI

Course Info

Instructor

Prof. Ramesh Raskar

Departments

Media Arts and Sciences

As Taught In

Fall 2009

Level

Graduate

Topics

Learning Resource Types

Lecture Audio

Problem Sets

Lecture Notes

Projects with Examples

Programming Assignments

Download Course

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