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Machine Vision

MIT 6.801 Machine Vision, Fall 2020

Lecture 1: Introduction to Machine Vision

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

Lecture 12: Blob Analysis, Binary Image Processing, Green's Theorem, Derivative and Integral

Lecture 17: Photogrammetry, Orientation, Axes of Inertia, Symmetry, Orientation

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

Machine Vision

Pattern Recognition for Machine Vision

Special Topics in Vision Science