Overview
- covers Marr’s paradigm for vision and underlying statistical models for various concepts in vision
- cross-disciplinary, spanning from psychology to neuroscience to statistics
- intended as inspiration for further developments towards a unified framework for vision
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Table of contents (13 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Authors and Affiliations
About the authors
Song-Chun Zhu is Chair Professor at Peking and Tsinghua Universities, Director of Beijing Institute for General Artificial Intelligence, and Founding Dean of School of Artificial Intelligence at Peking University. He received his M.S. degree and Ph.D. degree in computer science from Harvard University in 1994 and 1996 respectively, under the supervision of David Mumford. He joined UCLA in 2002 as an Associate Professor. He became a full professor at UCLA in 2006 and returned to China in 2020. While at UCLA, Zhu was the director of Vision, Cognition, Learning, and Autonomy (VCLA) Lab. His research areas include computer vision, statistical modeling, cognitive reasoning, robot autonomy and AI. He has received many awards for his research contributions, including Marr Prize in 2003, and Helmholtz Test-of-Time Award in 2013. He is a fellow of IEEE Computer Society.
Ying Nian Wu is a professor in Department of Statistics,UCLA. He received his A.M. degree and Ph.D. degree in statistics from Harvard University in 1994 and 1996 respectively, under the supervision of Donald Rubin. He was an assistant professor in Department of Statistics, University of Michigan from 1997 to 1999. He joined UCLA in 1999. He was an assistant professor from 1999 to 2001. He was an associate professor from 2001 to 2006. He has been a full professor since 2006. Wu’s research areas include representation learning, generative modeling, computer vision, computational neuroscience, and bioinformatics.
Bibliographic Information
Book Title: Computer Vision
Book Subtitle: Statistical Models for Marr's Paradigm
Authors: Song-Chun Zhu, Ying Nian Wu
DOI: https://doi.org/10.1007/978-3-030-96530-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-030-96529-7Published: 16 March 2023
Softcover ISBN: 978-3-030-96532-7Published: 16 March 2024
eBook ISBN: 978-3-030-96530-3Published: 15 March 2023
Edition Number: 1
Number of Pages: XIV, 357
Number of Illustrations: 83 b/w illustrations, 109 illustrations in colour
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Visualization, Algorithm Analysis and Problem Complexity, Probability and Statistics in Computer Science, Simulation and Modeling, Mathematical Models of Cognitive Processes and Neural Networks