Computer Vision: Algorithms and Applications — Szeliski

Richard Szeliski, 2nd Edition (Springer)

The standard graduate-level computer vision textbook: image formation, image processing, feature detection and matching, segmentation, stereo correspondence, structure from motion, optical flow, object recognition, and deep learning for vision.

Referenced in Course 1 (Week 12 — classical vs learned vision pipelines) and Course 2 (Week 12 — lane and traffic-light detection, image processing and feature detection).

Chapters

Exercises added as I work through each chapter.