Computer Vision Statistical Models for Marr's Paradigm
Synopsis
As the first book of a three-part series, this book is offered as a tribute to pioneers in vision, such as Béla Julesz, David Marr, King-Sun Fu, Ulf Grenander, and David Mumford. The authors hope to provide foundation and, perhaps more importantly, further inspiration for continued research in vision. This book covers David Marr's paradigm and various underlying statistical models for vision. The mathematical framework herein integrates three regimes of models (low-, mid-, and high-entropy regimes) and provides foundation for research in visual coding, recognition, and cognition. Concepts are first explained for understanding and then supported by findings in psychology and neuroscience, after which they are established by statistical models and associated learning and inference algorithms. A reader will gain a unified, cross-disciplinary view of research in vision and will accrue knowledge spanning from psychology to neuroscience to statistics.Book details
- Edition:
- 1st ed. 2023
- Author:
- Song-Chun Zhu, Ying Nian Wu
- ISBN:
- 9783030965303
- Related ISBNs:
- 9783030965297
- Publisher:
- Springer International Publishing
- Pages:
- N/A
- Reading age:
- Not specified
- Includes images:
- Yes
- Date of addition:
- 2023-10-15
- Usage restrictions:
- Copyright
- Copyright date:
- 2023
- Copyright by:
- Springer Nature Switzerland AG
- Adult content:
- No
- Language:
- English
- Categories:
- Computers and Internet, Mathematics and Statistics, Nonfiction