David A. Forsyth, University of Illinois at Urbana-Champaign


Jean Ponce, Ecole Normale Superieure, Paris


 

1 Geometric Camera Models


2 Light and Shading


3 Colo


4 Linear Filters


5 Local Image Features


6 Texture


7 Stereopsis


8 Structure from Motion


9 Segmentation by Clustering


10 Grouping and Model Fitting


11 Tracking


12 Registration


13 Smooth Surfaces and Their Outlines


14 Range Data


 

• Broad coverage—Coverage of a wide range of topics allows customization to fit instructor, student, and course needs.


• Most comprehensive and up-to-date text on computer vision—Includes essential topics that either reflect practical significance or are of theoretical importance.


• Depth of the material accessible to various levels of students—Topics are discussed in substantial and increasing depth.


• Application surveys—Describe numerous important application areas such as image based rendering and digital libraries.


• Many important algorithms broken down and illustrated in pseudo code.


• Excellent pedagogy throughout the text—Includes numerous worked examples, exercises, programming assignments, and extensive illustrations.