3D Computer Vision - Zhang, Yu-Jin
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Présentation 3d Computer Vision Format Relié
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Résumé : This book offers a comprehensive and unbiased introduction to 3D Computer Vision, ranging from its foundations and essential principles to advanced methodologies and technologies. Divided into 11 chapters, it covers the main workflow of 3D computer vision as follows: camera imaging and calibration models; various modes and means of 3D image acquisition; binocular, trinocular and multi-ocular stereo vision matching techniques; monocular single-image and multi-image scene restoration methods; point cloud data processing and modeling; simultaneous location and mapping; generalized image and scene matching; and understanding spatial-temporal behavior. Each topic is addressed in a uniform manner: the dedicated chapter first covers the essential concepts and basic principles before presenting a selection of typical, specific methods and practical techniques. In turn, it introduces readers to the most important recent developments, especially in the last three years. This approach allows them to quickly familiarize themselves with the subject, implement the techniques discussed, and design or improve their own methods for specific applications. The book can be used as a textbook for graduate courses in computer science, computer engineering, electrical engineering, data science, and related subjects. It also offers a valuable reference guide for researchers and practitioners alike.
Biographie:
Yu-Jin ZHANG received his Ph.D. in Applied Science from the State University of Li?ge, Belgium, in 1989. From 1989 to 1993, he was a post-doctoral fellow and research fellow at the Delft University of Technology, in the Netherlands. In 1993, he joined Tsinghua University, Beijing, China, where he has been a Professor since 1997. He has published over 500 research papers and book chapters, as well as more than 40 books, including three monographs: Image Segmentation, Content-based Visual Information Retrieval, and Subspace-based Face Recognition, one dictionary: An English-Chinese Dictionary of Image Engineering (1st edition and 2nd edition), and three edited books: Advances in Image and Video Segmentation and Semantic-Based Visual Information Retrieval (IRM Press, USA), and Advances in Face Image Analysis: Techniques and Technologies (IGI Global, USA). He was/is the Vice President of the China Society of Image and Graphics (2002 ~ 2011, 2016 ~), the associate editor of Pattern Recognition Letters, the International Journal of Image and Graphics, Optical Engineering, Journal of Electronics and Information, Journal of CAD and Computer Graphics, Signal Processing, and Acta Automatica Sinica. He was the program chair of The Twenty-Fourth International Conference on Image Processing (ICIP'2017), as well as a number of international conferences. He has been a senior member of IEEE (since 1999), and a fellow of SPIE (since 2011)....
Sommaire:
Chapter 1 Introduction.- Chapter 2 Camera Imaging and Calibration.- Chapter 3 Depth Image Acquisition.- Chapter 4 Binocular Stereo Vision.- Chapter 5 Multi-Ocular Stereo Vision.- Chapter 6 Monocular Multi-Image Scene Restoration.- Chapter 7 Monocular Single-Image Scene Restoration.- Chapter 8 Point Cloud Data Processing.- Chapter 9 Simultaneous Location and Mapping.- Chapter 10 Generalized Matching.- Chapter 11 Understanding of Spatial-Temporal Behavior.
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