MIT OpenCourseWare
Machine Vision
Art: Palmer, Edward, 1803-1872, Figures 113-123. Plate Electrical Machines, 1840 · Public domain
- Instructor
- Prof. Berthold Horn
- Term
- Fall 2020
- Level
- Undergraduate
- What's inside
- 23 videos · 4 exams · 4 solutions · 2 lecture notes · 69 other files · 5 web pages
- Materials open
- Videos here · files on MIT OCW
Other versions of this course
- 6.801 · Fall 2020 · Study here (this version)
- 6.801 · Fall 2004 · Study here
About this course
Source: MIT OpenCourseWare 6.801 Machine Vision, Fall 2020, Prof. Berthold Horn — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: none is claimed; materials are grouped by MIT's own sections. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.
Materials are grouped the way MIT organized them. A verified, course-wide order has not been established here.
Before you start
Prerequisites are not listed here. Check MIT's own syllabus for this course.
How this course was organized
What's here, and what isn't
- No lecture or session order could be confirmed for this course.
Not included here
46 items from the source could not be safely included:
- No confirmed license was found for this item, so it is not shown. (46 items)
Materials by section
Grouped by section, as MIT organized them. Not sequenced or ordered.
Lecture Notes
23 files
- 6.801 / 6.866 Machine Vision, Lecture 20 Download
- 6.801 / 6.868 Machine Learning, Lecture 19 Download
- 6.801 / 6.868 Machine Version, Full Lecture Notes Download
- 6.801 / 6.868 Machine Vision, Lecture 2 Download
- 6.801/6.866: Machine Vision, Lecture 3 Download
- 6.801/6.866: Machine Vision, Lecture 4 Download
- 6.801/6.866: Machine Vision, Lecture 5 Download
- 6.801/6.866: Machine Vision, Lecture 6 Download
- 6.801/6.866: Machine Vision, Lecture 7 Download
- 6.801/6.866: Machine Vision, Lecture 8 Download
- 6.801/6.866: Machine Vision, Lecture 9 Download
- 6.801/6.866: Machine Vision, Lecture 10 Download
- 6.801/6.866: Machine Vision, Lecture 11 Download
- 6.801/6.866: Machine Vision, Lecture 12 Download
- 6.801/6.866: Machine Vision, Lecture 13 Download
- 6.801/6.866: Machine Vision, Lecture 14 Download
- 6.801/6.866: Machine Vision, Lecture 15 Download
- 6.801/6.866: Machine Vision, Lecture 16 Download
- 6.801/6.866: Machine Vision, Lecture 17 Download
- 6.801/6.866: Machine Vision, Lecture 18 Download
- 6.801/6.866: Machine Vision, Lecture 21 Download
- 6.801/6.866: Machine Vision, Lecture 22 Download
- 6.801/6.866: Machine Vision, Lecture 23 Download
Assignments
- 6.801 / 6.866 Machine Vision, Homework 3 Download
- 6.801/6.866 Machine Vision, Homework 1 Download
- 6.801/6.866 Machine Vision, Homework 2 Download
- 6.801/6.866 Machine Vision, Homework 4 Download
- 6.801/6.866 Machine Vision, Homework 5 Download
Quizzes
- 6.801 / 6.866 Machine Vision, Quiz 1 Review Download
- 6.801/6.866 Machine Vision, Quiz 1 Download
- 6.801/6.866 Machine Vision, Quiz 2 Download
- 6.801/6.866: Machine Vision, Quiz 2 Review Download
Other materials from this course
23 lecture transcripts
- Lecture 1: Introduction to Machine Vision transcript Download
- Lecture 2: Image Formation, Perspective Projection, Time Derivative, Motion Field transcript Download
- Lecture 3: Time to Contact, Focus of Expansion, Direct Motion Vision Methods, Noise Gain transcript Download
- Lecture 4: Fixed Optical Flow, Optical Mouse, Constant Brightness Assumption, Closed Form Solution transcript Download
- Lecture 5: TCC and FOR MontiVision Demos, Vanishing Point, Use of VPs in Camera Calibration transcript Download
- Lecture 6: Photometric Stereo, Noise Gain, Error Amplification, Eigenvalues and Eigenvectors Review transcript Download
- Lecture 7: Gradient Space, Reflectance Map, Image Irradiance Equation, Gnomonic Projection transcript Download
- Lecture 8: Shading, Special Cases, Lunar Surface, Scanning Electron Microscope, Green's Theorem transcript Download
- Lecture 9: Shape from Shading, General Case - From First Order Nonlinear PDE to Five ODEs transcript Download
- Lecture 10: Characteristic Strip Expansion, Shape from Shading, Iterative Solutions transcript Download
- Lecture 11: Edge Detection, Subpixel Position, CORDIC, Line Detection (US 6,408,109) transcript Download
- Lecture 12: Blob Analysis, Binary Image Processing, Green's Theorem, Derivative and Integral transcript Download
- Lecture 13: Object Detection, Recognition and Pose Determination, PatQuick (US 7,016,539) transcript Download
- Lecture 14: Inspection in PatQuick, Hough Transform, Homography, Position Determination, Multi-Scale transcript Download
- Lecture 15: Alignment, PatMax, Distance Field, Filtering and Sub-Sampling (US 7,065,262) transcript Download
- Lecture 16: Fast Convolution, Low Pass Filter Approximations, Integral Images (US 6,457,032) transcript Download
- Lecture 17: Photogrammetry, Orientation, Axes of Inertia, Symmetry, Orientation transcript Download
- Lecture 18: Rotation and How to Represent It, Unit Quaternions, the Space of Rotations transcript Download
- Lecture 19: Absolute Orientation in Closed Form, Outliers and Robustness, RANSAC transcript Download
- Lecture 20: Space of Rotations, Regular Tessellations, Critical Surfaces, Binocular Stereo transcript Download
- Lecture 21: Relative Orientation, Binocular Stereo, Structure, Quadrics, Calibration, Reprojection transcript Download
- Lecture 22: Exterior Orientation, Recovering Position & Orientation, Bundle Adjustment, Object Shape transcript Download
- Lecture 23: Gaussian Image, Solids of Revolution, Direction Histograms, Regular Polyhedra transcript Download
23 videos
- Lecture 1: Introduction to Machine Vision Open ↗
- Lecture 2: Image Formation, Perspective Projection, Time Derivative, Motion Field Open ↗
- Lecture 3: Time to Contact, Focus of Expansion, Direct Motion Vision Methods, Noise Gain Open ↗
- Lecture 4: Fixed Optical Flow, Optical Mouse, Constant Brightness Assumption, Closed Form Solution Open ↗
- Lecture 5: TCC and FOR MontiVision Demos, Vanishing Point, Use of VPs in Camera Calibration Open ↗
- Lecture 6: Photometric Stereo, Noise Gain, Error Amplification, Eigenvalues and Eigenvectors Review Open ↗
- Lecture 7: Gradient Space, Reflectance Map, Image Irradiance Equation, Gnomonic Projection Open ↗
- Lecture 8: Shading, Special Cases, Lunar Surface, Scanning Electron Microscope, Green's Theorem Open ↗
- Lecture 9: Shape from Shading, General Case - From First Order Nonlinear PDE to Five ODEs Open ↗
- Lecture 10: Characteristic Strip Expansion, Shape from Shading, Iterative Solutions Open ↗
- Lecture 11: Edge Detection, Subpixel Position, CORDIC, Line Detection (US 6,408,109) Open ↗
- Lecture 12: Blob Analysis, Binary Image Processing, Green's Theorem, Derivative and Integral Open ↗
- Lecture 13: Object Detection, Recognition and Pose Determination, PatQuick (US 7,016,539) Open ↗
- Lecture 14: Inspection in PatQuick, Hough Transform, Homography, Position Determination, Multi-Scale Open ↗
- Lecture 15: Alignment, PatMax, Distance Field, Filtering and Sub-Sampling (US 7,065,262) Open ↗
- Lecture 16: Fast Convolution, Low Pass Filter Approximations, Integral Images (US 6,457,032) Open ↗
- Lecture 17: Photogrammetry, Orientation, Axes of Inertia, Symmetry, Orientation Open ↗
- Lecture 18: Rotation and How to Represent It, Unit Quaternions, the Space of Rotations Open ↗
- Lecture 19: Absolute Orientation in Closed Form, Outliers and Robustness, RANSAC Open ↗
- Lecture 20: Space of Rotations, Regular Tessellations, Critical Surfaces, Binocular Stereo Open ↗
- Lecture 21: Relative Orientation, Binocular Stereo, Structure, Quadrics, Calibration, Reprojection Open ↗
- Lecture 22: Exterior Orientation, Recovering Position & Orientation, Bundle Adjustment, Object Shape Open ↗
- Lecture 23: Gaussian Image, Solids of Revolution, Direction Histograms, Regular Polyhedra Open ↗
MIT OpenCourseWare, Prof. Berthold Horn, 6.801 Machine Vision, Fall 2020.
License: CC BY-NC-SA 4.0 · Edition: Fall 2020 · Open the original course on OCW ↗
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