Vision, Brain, and Cooperative Computation


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.

Table of Contents

  1. Preface
  2. Vision, Brain and Cooperative Computation: An Overview

    Michael A. Arbib and Allen R. Hanson

  3. I. Visual Neurophysiology
  4. 1. Why Visuomotor Systems Don't Like Negative Feedback and How They Avoid It

    D. A. Robinson

  5. 2. The Role of the Primate Superior Colliculus in Sensorimotor Integration

    David L. Sparks and Martha Jay

  6. 3. Depth and Detours: An Essay on Visually Guided Behavior

    Michael A. Arbib and Donald H. House

  7. 4. A Trace of Memory: An Evolutionary Perspective on the Visual System

    D. N. Spinelli

  8. II. Visual Psychophysics
  9. 5. Visual Analysis during Motion

    David Burr and John Ross

  10. 6. Figure-Ground Organization Affects the Early Visual Processing of Information

    Naomi Weisstein and Eva Wong

  11. 7. The Diversity of Perceptual Grouping

    Steven W. Zucker

  12. 8. The Interdependence of Temporal and Spatial Information in Early Vision

    Peter J. Burt

  13. III. Machine Vision and Robotics
  14. 9. A Methodology for the Development of General Knowledge-Based Vision Systems

    Edward M. Riseman and Allen R. Hanson

  15. 10. An Extremum Principle for Shape from Contour

    Michael Brady and Alan Yuille

  16. 11. Representational Axes and Temporal Cooperative Processes

    John K. Tsotsos

  17. 12. Computational Techniques in Motion Processing

    Daryl Lawton, Joachim Rieger and Martha Steenstrup

  18. 13. Schemas That Integrate Vision and Touch for Hand Control

    Michael A. Arbib, Thea Iberall and Damian Lyons

  19. 14. Robot Tactile Sensing and Schema Control

    Kenneth J. Overton

  20. IV. Connectionism and Cooperative Computation
  21. 15. A Functional Model of Vision and Space

    Jerome A. Feldman

  22. 16. Cortical Connections and Parallel Processing: Structure and Function

    Dana H. Ballard

  23. 17. Visual-Cognitive Neuronal Networks

    Arnold Trehub

  24. 18. An Approach to Learning Control Surfaces by Connectionist Systems

    Andrew G. Barto

  25. 19. Separating Figure from Ground with a Boltzmann Machine

    Terrence J. Sejnowski and Geoffrey E. Hinton

  26. List of Contributors
  27. Index