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Machine Vision

Machine Vision

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

Lecture 14: Inspection in PatQuick, Hough Transform, Homography, Position Determination, Multi-Scale

Lecture 6: Recent research: BiDi Screen

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

Pattern Recognition for Machine Vision

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

Advances in Computer Vision

Alon Baram & Laurie Bayet: Learning to Recognize Digits and Faces from Few Examples

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

Lecture 19: Absolute Orientation in Closed Form, Outliers and Robustness, RANSAC

Lecture 1: Introduction to Machine Vision

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

Build a Small Radar System Capable of Sensing Range, Doppler, and Synthetic Aperture Radar Imaging

Computer Graphics