Computer Vision : A Modern Approach David A. Forsyth; Jean Ponce

Pt. 1. Image formation and image models -- Cameras -- Geometric camera models -- Geometric camera calibration -- Radiometry: measuring light -- Sources, shadows and shading -- Color -- pt. 2. Early vision: just one image -- Linear filters -- Edge detection -- Texture -- pt. 3. Early vision: multiple images -- The geometry of multiple views -- Stereopsis -- Affine structure from motion -- Projective structure from motion -- pt. 4. Mid-level vision -- Segmentation by clustering -- Segmentation by fitting a model -- Segmentation and fitting using probabilistic methods -- Tracking with linear dynamic models -- pt. 5. High-level vision: geometric methods -- Model-based vision -- Smooth surfaces and their outlines -- Aspect graphs -- Range data -- pt. 6. High-level vision: probabilistic and inferential methods -- Finding templates using classifiers -- Recognition by relations between templates -- Geometric templates from spatial relations -- pt. 7. Applications -- Application: finding in digital libraries -- Application: image-based rendering.