Resources | Machine Vision | Electrical Engineering and Computer Science | MIT OpenCourseWare

Course Info

Instructor

Prof. Berthold Horn

Departments

Electrical Engineering and Computer Science

As Taught In

Fall 2020

Level

Undergraduate

Topics

Engineering
- Computer Science
  - Artificial Intelligence
  - Graphics and Visualization

Learning Resource Types

Problem Sets

Exams

Lecture Notes

Projects

Download Course

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Lecture Videos

Lecture 1: Introduction to Machine Vision

Lecture 2: Image Formation, Perspective Projection, Time Derivative, Motion Field

Lecture 3: Time to Contact, Focus of Expansion, Direct Motion Vision Methods, Noise Gain

Lecture 4: Fixed Optical Flow, Optical Mouse, Constant Brightness Assumption, Closed Form Solution

Lecture 5: TCC and FOR MontiVision Demos, Vanishing Point, Use of VPs in Camera Calibration

Lecture 6: Photometric Stereo, Noise Gain, Error Amplification, Eigenvalues and Eigenvectors Review

Lecture 7: Gradient Space, Reflectance Map, Image Irradiance Equation, Gnomonic Projection

Lecture 8: Shading, Special Cases, Lunar Surface, Scanning Electron Microscope, Green's Theorem

Lecture 9: Shape from Shading, General Case - From First Order Nonlinear PDE to Five ODEs

Lecture 10: Characteristic Strip Expansion, Shape from Shading, Iterative Solutions

Assignments

6.801 / 6.866 Machine Vision, Homework 3

6.801/6.866 Machine Vision, Homework 1

6.801/6.866 Machine Vision, Homework 2

6.801/6.866 Machine Vision, Homework 4

6.801/6.866 Machine Vision, Homework 5

Exams

6.801 / 6.866 Machine Vision, Quiz 1 Review

6.801/6.866 Machine Vision, Quiz 1

6.801/6.866 Machine Vision, Quiz 2

6.801/6.866: Machine Vision, Quiz 2 Review

Lecture Notes

6.801 / 6.866 Machine Vision, Lecture 20

6.801 / 6.868 Machine Learning, Lecture 19

6.801 / 6.868 Machine Version, Lecture Notes

6.801 / 6.868 Machine Vision, Lecture 2

6.801/6.866: Machine Vision, Lecture 10

6.801/6.866: Machine Vision, Lecture 11

6.801/6.866: Machine Vision, Lecture 12

6.801/6.866: Machine Vision, Lecture 13

6.801/6.866: Machine Vision, Lecture 14

6.801/6.866: Machine Vision, Lecture 15

Course Info

Instructor

Prof. Berthold Horn

Departments

Electrical Engineering and Computer Science

As Taught In

Fall 2020

Level

Undergraduate

Topics

Engineering
- Computer Science
  - Artificial Intelligence
  - Graphics and Visualization

Learning Resource Types

Problem Sets

Exams

Lecture Notes

Projects

Download Course

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