Someone with background in Computer Vision - please update this with references to OpenCV and other Vision tools that you find particularly useful. Links and explanations are wanted!

Textbooks

• Multiple View Geometry in Computer Vision: the most highly cited and bible of geometry in vision, a must read
• Computer Vision: A Modern Approach: another highly cited work, frequently used textbook
• Computer Vision: another highly cited work, frequently used textbook, great introducton to vision
• Learning OpenCV: great reference for OpenCV, also with very detailed explainations on vision concepts

Lectures

• Sebastian Thrun, Stanford
• Jim Rehg, GT
• Ramani Duraiswami, UMD

Libraries

• OpenCV: the most comprehensive library for computer vision
• SceneLib: from Andrew Davison, world-renowned researcher in real time visual SLAM
• Tim Bailey packages: collection of filters and SLAM algorithms, not exactly for vision but related
• Bayes++: Bayesian filtering library
• OpenSLAM: SLAM algorithms and datasets
• Radish: SLAM algorithms and datasets
• SLAM Simulator: Matlab-based package with some useful utilities, particularly JCBB
• Middelbury Dataset: the defacto standard dataset for stereo correspondence