Table of Contents
General Knowledge
G1. Books, Lectures and Tutorials
- Foundations of Computer Vision, Antonio Torralba, Phillip Isola, and William Freeman
- Computer Vision: Algorithms and Applications, Richard Szeliski
- Computer Vision: Models, Learning, and Inference, Simon Prince
- Stanford CS131: Computer Vision: Foundations and Applications (recent: Fall 2022), Juan Carlos Niebles and Adrien Gaidon
- Stanford CS231n: Deep Learning for Computer Vision, Fei-Fei Li and many other contributors
- Stanford CS231A: Computer Vision, From 3D Perception to 3D Reconstruction and Beyond, Silvio Savarese and many other contributors
- Understanding the In-Camera Rendering Pipeline and the role of AI/Deep Learning (ICCV 2023 tutorial), Michael S. Brown
G2. Resources and Datasets
G3. OpenCV