Computer Vision: A Modern Approach

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. David A. Forsyth [and] Jean Ponce. Includes Bibliographical References (p. 643-671) And Index.