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3D Computer Vision

Autor Yu-Jin Zhang
en Limba Engleză Paperback – 28 apr 2025
This book offers a comprehensive and unbiased introduction to 3D Computer Vision, ranging from its foundations and essential principles to advanced methodologies and technologies. The book can be used as a textbook for graduate courses in computer science, computer engineering, electrical engineering, data science, and related subjects.
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Specificații

ISBN-13: 9789811976056
ISBN-10: 9811976058
Pagini: 488
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.73 kg
Editura: Springer

Notă biografică

Yu-Jin ZHANG received his Ph.D. in Applied Science from the State University of Liège, Liège, Belgium, in 1989. From 1989 to 1993, he was a postdoctoral fellow and research fellow at the Delft University of Technology, Delft, the Netherlands. In 1993, he joined the Department of Electronic Engineering, Tsinghua University, Beijing, China, where he has been a Professor (since 1997) and tenured Professor (since 2014) of Image Engineering. He is active in education on and research into image engineering (including image processing, image analysis, and image understanding) and has published more than 550 research papers and more than 50 books in this field. He has served as program chair of the "Twenty-Fourth International Conference on Image Processing (ICIP'2017)" and several other international conferences. He is the Honorary Chairman of Supervisors (since 2020) of CSIG, a Fellow of SPIE (since 2011) and a Fellow of CSIG (since 2019).

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Presents a comprehensive overview of 3D computer vision, ranging from its foundations to advanced methodologies Offers a self-contained reference book suitable for researchers in the areas of computer vision, etc Written by a respected author and leading expert in the field