Computer Vision
Zhu, Song-Chun.
Computer Vision [electronic resource] : by Song-Chun Zhu, Ying Nian Wu. - 1st ed. 2023. - Cham Springer International Publishing 2023 - XIV, 357 p. 192 illus., 109 illus. in color. online resource.
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.
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
Computer Vision [electronic resource] : by Song-Chun Zhu, Ying Nian Wu. - 1st ed. 2023. - Cham Springer International Publishing 2023 - XIV, 357 p. 192 illus., 109 illus. in color. online resource.
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.
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