CV-401: Image Formation and Classical Computer Vision

Course Description

Foundations of image formation: camera models, perspective projection, lens distortion. Classical image processing: filtering, edge detection (Sobel, Canny), corner detection (Harris, FAST). Feature descriptors: SIFT, SURF, ORB. Optical flow: Lucas-Kanade and Farneback methods. Stereo vision and disparity. The course provides essential background for understanding why deep learning methods work the way they do.