MIT OpenCourseWare

Browse materialsMIT 6.801 · Fall 2004

Machine Vision

Subject: Artificial Intelligence

Art: Palmer, Edward, 1803-1872, Figures 113-123. Plate Electrical Machines, 1840 · Public domain

Instructor: Prof. Berthold Horn
Term: Fall 2004
Level: Undergraduate
What's inside: 1 lecture note · 1 reading · 34 other files · 3 web pages
Materials open: MIT OCW

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6.801 · Fall 2020 · Study here
6.801 · Fall 2004 · Study here (this version)

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About this course

Source: MIT OpenCourseWare 6.801 Machine Vision, Fall 2004, Prof. Berthold Horn — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: MIT's own listing order, section by section. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.

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22 files

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MIT OpenCourseWare, Prof. Berthold Horn, 6.801 Machine Vision, Fall 2004.

License: CC BY-NC-SA 4.0 · Edition: Fall 2004 · Open the original course on OCW ↗

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Machine Vision

Before you start

What's here, and what isn't

Not included here

Materials by section

Readings

Lecture Notes

Exams

Other materials from this course

Lecture 1: General Introduction Estimating Image Motion Field Pinhole Camera Model

Lecture 2: General Introduction (cont.) Lambertian Surfaces Image Motion in 2D

Lecture 3: Image Motion in 2D (cont.) Constant Brightness Equation

Lecture 4: Constant Brightness Equation (cont.) Binocular Stereo Reflectance map: Image Formation, Surface Reflectance, Surface Orientation

Lecture 5: Photometric Stereo Brightness Distribution Function (BRDF)

Lecture 6: Shape from Shading

Lecture 7: Shape from Shading (cont.) Shape from Gradient

Lecture 8: Shape from Gradient (cont.)

Lecture 9: Binary Image Processing Methods and Applications

Lecture 10: Binary Image Processing (cont.)

Lecture 11: Binary Image Processing (cont.)

Lecture 12: Binary Image Processing (cont.)

Lecture 13: Binary Image Processing (cont.)

Lecture 14: The Euler Equations and their Applications

Lecture 15: Optical Flow

Lecture 16: Optical Flow (cont.) Motion Vision

Lecture 17: Optical Flow (cont.) Motion Field

Lecture 18: Optical Flow (cont.) Direct Motion Vision

Lecture 19: Optical Flow (cont.)

Lecture 20: Extended Gaussian Images Geometry

Lecture 21: Extended Gaussian Images (cont.) Tessellation Platonic solids

Lecture 22: Extended Gaussian Images (cont.) Quaternions Operations on EGIs

Lecture 23: Photogrammetry Absolute Orientation Exterior Orientation Interior Orientation

Lecture 24: Photogrammetry (cont.) Relative Orientation

Lecture 25: Parallel Networks How to Process Images Efficiently