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Course Info
Machine Vision

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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

Lecture Videos

Lecture 1: Introduction to Machine Vision
Lecture 10: Characteristic Strip Expansion, Shape from Shading, Iterative Solutions
Lecture 11: Edge Detection, Subpixel Position, CORDIC, Line Detection (US 6,408,109)
Lecture 12: Blob Analysis, Binary Image Processing, Green's Theorem, Derivative and Integral
Lecture 13: Object Detection, Recognition and Pose Determination, PatQuick (US 7,016,539)
Lecture 14: Inspection in PatQuick, Hough Transform, Homography, Position Determination, Multi-Scale
Lecture 15: Alignment, PatMax, Distance Field, Filtering and Sub-Sampling (US 7,065,262)
Lecture 16: Fast Convolution, Low Pass Filter Approximations, Integral Images (US 6,457,032)
Lecture 17: Photogrammetry, Orientation, Axes of Inertia, Symmetry, Orientation
Lecture 18: Rotation and How to Represent It, Unit Quaternions, the Space of Rotations

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