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Broad in scope and packed with useful detail, Vision, Brain, and Cooperative Computation explores what can be learned about visual cognition from an understanding of visual neurophysiology and of the mathematics of parallel computation.
In four parts - visual neurophysiology, visual psychophysics, machine vision and robotics, and connectionism and cooperative computation - the book covers current theories of visual information processing in humans and other animals and current methodologies for designing computer vision systems.
Michael A. Arbib is Professor of Computer Science, Neurobiology, and Physiology at the University of Southern California. Allen R. Hanson is Professor in the Department of Computer and Information Science at the University of Massachusetts, Amherst.
Review: " The basic theme in this book is computation in vision systems. You have clear approaches that will assist any computer vision researcher in his efforts. But the part on applications with neural networks shines." -- "AI SIG International Newsletter" & quot; The basic theme in this book is computation in vision systems. You have clear approaches that will assist any computer vision researcher in his efforts. But the part on applications with neural networks shines.& quot; -- AI SIG International Newsletter "The basic theme in this book is computation in vision systems. You have clear approaches that will assist any computer vision researcher in his efforts. But the part on applications with neural networks shines."--"AI SIG International Newsletter"
Title: Vision, Brain, and Cooperative Computation
Publisher: Bradford Books
Publication Date: 1990
Binding: Paperback
Condition: Very Good
Dust Jacket Condition: No Jacket