Computer Vision by Song-Chun Zhu, Ying Nian Wu. [electronic resource] :
Material type: TextPublication details: Cham Springer International Publishing 2023Edition: 1st ed. 2023Description: XIV, 357 p. 192 illus., 109 illus. in color. online resourceISBN:- 9783030965303
- Computer Imaging, Vision, Pattern Recognition and Graphics
- Computer science
- Computer science
- Computer Science
- Computer vision
- Data and Information Visualization
- Image processing
- Information visualization
- Mathematical Models of Cognitive Processes and Neural Networks
- Mathematical statistics
- Neural networks (Computer science)
- Probability and Statistics in Computer Science
- Theory of Computation
- 6
Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds | |
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e-Book | S. R. Ranganathan Learning Hub Online | Available | Platform:Springer | EB2717 |
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.
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