Handbook of Pattern Recognition and Image Processing: Computer Vision v. 2
This volume emphasizes computer vision and three-dimensional shapes - their representation, recovery, recognition and extraction. It covers the methods for 3D shape recovery, including shape from shading, shape from edge and contours, range image analysis and stereo vision. It also presents analysis of 3D motion from an image sequence, including non-rigid motion and human movement. Finally, the book provides coverage of representation, matching and recognition of 3D objects.
- Hardback | 490 pages
- 165 x 241 x 25.4mm | 1,015g
- 01 Apr 1994
- Elsevier Science Publishing Co Inc
- Academic Press Inc
- San Diego, United States
Table of contents
Principles of Computer Vision. Three-Dimensional Shape Representation. Three-Dimensional Shape Recovery from Line Drawings. Recovery of 3D Shape of Curved Objects. Surface Reflection Mechanism. Extracting Shape from Shading. Range Image Analysis. Stereo Vision. Machine Learning of Computer Vision Algorithms. Image Sequence Analysis for 3D Perception of Dynamic Scenes. Nonrigid Motion Analysis. Analysis and Synthesis of Human Movement. Relational Matching. Three-Dimensional Object Recognition. Fundamental Principles of Robot Vision. Chapter References.