This book offers a comprehensive introduction to seven commonly used image understanding techniques in modern information technology. Readers of various levels can find suitable techniques to solve their practical problems and discover the latest development in these specific domains.
This book offers a comprehensive introduction to seven commonly used image understanding techniques in modern information technology. Readers of various levels can find suitable techniques to solve their practical problems and discover the latest development in these specific domains.
The techniques covered include camera model and calibration, stereo vision, generalized matching, scene analysis and semantic interpretation, multi-sensor image information fusion, content-based visual information retrieval, and understanding spatial-temporal behavior. The book provides aspects from the essential concepts overview and basic principles to detailed introduction, explanation of the current methods and their practical techniques. It also presents discussions on the research trends and latest results in conjunction with new development of technical methods.
This is an excellent read for those who do not have a subject background in image technology but need to use these techniques to complete specific tasks. These essential information will also be useful for their further study in the relevant fields.
1. Introduction
2. Camera Model and Calibration
3. Stereo Vision
4. Generalized Matching
5. Scene Analysis and Semantic Interpretation
6. Multi-Sensor Image Information Fusion
7. Content-Based Visual Information Retrieval
8. Understanding Spatial-Temporal Behavior
Yu-Jin Zhang is a tenured professor of image engineering at Tsinghua University, Beijing, China. He earned his PhD in Applied Science from the State University of Ličge, Ličge, Belgium. He was a post-doc fellow of Delft University of Technology, Delft, the Netherlands. He is also a CSIG and SPIE fellow. Dr. Zhang has published 50 books and more than 500 research papers.
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