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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000000500623 | QP474 V57 1987 | Open Access Book | Book | Searching... |
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Summary
Summary
These nineteen original essays present current developments in the exciting field of vision research, stressing contributions from neurophysiology, psychophysics, and computer science. They are unified by the theme of how best to structure the computations for visual systems and are placed in perspective by a major integrative essay provided by the editors. Broad in scope and packed with useful detail, Vision, Brain, and Cooperative Computationcovers the entire range of perceptual experience from sensors to learning. Crossing several traditional disciplinary boundaries, it offers valuable insights into artificial intelligence and cognitive science with diverse and timely essays on visual neurophysiology, visual psychophysics, machine vision and robotics, and connectionism and cooperative computation. Michael A. Arbib is Professor of Computer Science, Neurobiology, and Physiology at the University of Southern California. Allen R. Hanson is an Associate Professor in the Department of Computer and Information Science at the University of Massachusetts in Amherst. Vision, Brain, and Cooperative Computationis included in the series Computational Models of Cognition and Perception, edited by Jerome A. Feldman, Patrick J. Hayes, and David E. Rumelhart. A Bradford Book.
Reviews 1
Choice Review
The field of cognitive science-a meeting ground for philosophers, linguists, brain scientists, and computer scientists-includes the study of visual perception. This book is a collection of research contributions to the perceptual part of cognitive science. Consisting of well-written articles by leading researchers in computer vision, neurophysiology of vision, and visual psychology, the volume presents current theories of visual information processing in humans and other animals and current methodologies for designing computer vision systems. There are four parts: Visual Neurophysiology, Visual Psychophysics, Machine Vision and Robotics, and Connectionism and Cooperative Computation. An excellent 67-page overview by the editors puts the current research questions into a general perspective, and gives a long list of references to the literature. Recommended for graduate students.-S.L. Tanimoto, University of Washington
Table of Contents
| Preface |
| Vision, Brain and Cooperative Computation: An Overview |
| I Visual Neurophysiology |
| 1 Why Visuomotor Systems Don't Like Negative Feedback and How They Avoid It |
| 2 The Role of the Primate Superior Colliculus in Sensorimotor Integration |
| 3 Depth and Detours: An Essay on Visually Guided Behavior |
| 4 A Trace of Memory: An Evolutionary Perspective on the Visual System |
| II Visual Psychophysics |
| 5 Visual Analysis during Motion |
| 6 Figure-Ground Organization Affects the Early Visual Processing of Information |
| 7 The Diversity of Perceptual Grouping |
| 8 The Interdependence of Temporal and Spatial Information in Early Vision |
| III Machine Vision and Robotics |
| 9 A Methodology for the Development of General Knowledge-Based Vision Systems |
| 10 An Extremum Principle for Shape from Contour |
| 11 Representational Axes and Temporal Cooperative Processes |
| 12 Computational Techniques in Motion Processing |
| 13 Schemas That Integrate Vision and Touch for Hand Control |
| 14 Robot Tactile Sensing and Schema Control |
| IV Connectionism and Cooperative Computation |
| 15 A Functional Model of Vision and Space |
| 16 Cortical Connections and Parallel Processing: Structure and Function |
| 17 Visual-Cognitive Neuronal Networks |
| 18 An Approach to Learning Control Surfaces by Connectionist Systems |
| 19 Separating Figure from Ground with a Boltzmann Machine |
| List of Contributors |
| Index |
