3D Computer Vision: Foundations and Advanced Methodologies - Softcover

Zhang, Yu-Jin

Softcover

ISBN 10: 9811976058 ISBN 13: 9789811976056

Publisher: Springer, 2025

Synopsis

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 approachallows 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.

About this title

About the Author

Yu-Jin ZHANG received his Ph.D. in Applied Science from the State University of Liège, Belgium, in 1989. From 1989 to 1993, he was a post-doctoral fellow and research fellow at the Delft University of Technology, 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.

Actively engaged in image engineering education and research, he has published more than 500 research papers and more than 50 books, including the series of textbooks "Image Engineering (I): Image Processing," "Image Engineering (II): Image Analysis," "Image Engineering (III): Image Understanding" and "Image Engineering (bound volume)" (1^st, 2^nd, 3^rd, and 4^th editions); three monographs: "Image Segmentation," "Content-based Visual Information Retrieval" and "Subspace-based Face Recognition," and one dictionary: "AnEnglish-Chinese Dictionary of Image Engineering" (1^st, 2^nd, and 3^rd editions), as well as three edited books: "Advances in Image and Video Segmentation," "Semantic-Based Visual Information Retrieval" and "Advances in Face Image Analysis: Techniques and Technologies."

He is the honorary chairman of supervisors (2020 to present) of the China Society of Image and Graphics (CSIG), and one of first Fellow members of the China Society of Image and Graphics (since 2019). He is the current or former deputy editor-in-chief of "Journal of Image and Graphics" and associate editor of "Acta Automatica Sinica," "International Journal of Image and Graphics," "Journal of CAD and Computer Graphics," "Journal of Electronics and Information," "Optical Engineering," "Pattern Recognition Letters" and "Signal Processing." He was the program chair of the First, Second, Fourth, Fifth, Sixth, Seventh and Eighth International Conference on Image and Graphics (ICIG'2000, ICIG'2002, ICIG'2007, ICIG'2009, ICIG'2011, ICIG'2013, and ICIG'2015). He was the program chair of "The Twenty-Fourth International Conference on Image Processing (ICIP'2017)."

He has been a senior member of the IEEE since 1999, a Fellow of the SPIE since 2011, and a Fellow of the CSIG since 2019.

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2025
• Language: English
• ISBN 10: 9811976058
• ISBN 13: 9789811976056
• Binding: Paperback
• Number of pages: 485