Image Understanding (eBook)

lt;P>Yujin Zhang, Tsinghua University, Beijing, China

Table of Content:
Chapter 1 Stereo Vision
1.1 Modules of Stereo Vision
1.2 Region-Based Binocular Matching
1.3 Feature-Based Binocular Matching
1.4 Horizontal Multiple Stereo Matching
1.5 Orthogonal Trinocular Matching
1.6 Computing Sub-Pixel Level Disparity
1.7 Error Detection and Correction
1.8 Summary
Problems, Further Reading
Chapter 2 3-D Shape Information Recover
2.1 Photometric Stereo
2.2 Structure from Motion
2.3 Shape from Shading
2.4 Texture and Surface Orientation
2.5 Depth from Focal Length
2.6 Pose from Three Pixels
2.7 Summary
Problems, Further Reading
Chapter 3 Matching and Understanding
3.1 Fundamental of Matching
3.2 Object Matching
3.3 Dynamic Pattern Matching
3.4 Relation Matching
3.5 Graph Isomorphism
3.6 Labeling of Line Drawings
3.7 Summary
Problems, Further Reading
Chapter 4 Multi-Sensor Image Fusion
4.1 Overview of Information Fusion
4.2 Image Fusion
4.3 Pixel-Layer Fusion
4.4 Feature-Layer and Decision-Layer Fusions
4.5 Summary
Problems, Further Reading
Chapter 5 Content-Based Image Retrieval
5.1 Feature-Based Image Retrieval
5.2 Motion-Feature-Based Video Retrieval
5.3 Object-Based Retrieval
5.4 Video Analysis and Retrieval
5.5 Summary
Problems, Further Reading

lt;P>„Bietet Vieles, was in anderen Lehrbüchern kaum oder gar nicht behandelt wird."
Prof. Dr. Günther Görz, Friedrich-Alexander-Universität Erlangen-Nürnberg