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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Computer Vision: Statistical Models for Marr's Paradigm

Computer Vision: Statistical Models for Marr's Paradigm

Zhu, Song-Chun
Wu, Ying Nian

Hardcover

General ComputersGeneral MathematicsProgramming

ISBN10: 3030965295
ISBN13: 9783030965297
Publisher: Springer Nature
Published: Mar 16 2023
Pages: 357
Weight: 1.55
Height: 0.88 Width: 6.14 Depth: 9.21
Language: English
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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