Computational Vision

Information Processing in Perception and Visual Behavior
Overview

This text provides an introduction to computational aspects of early vision, in particular, color, stereo, and visual navigation. It integrates approaches from psychophysics and quantitative neurobiology, as well as theories and algorithms from machine vision and photogrammetry. When presenting mathematical material, it uses detailed verbal descriptions and illustrations to clarify complex points. The text is suitable for upper-level students in neuroscience, biology, and psychology who have basic mathematical skills and are interested in studying the mathematical modeling of perception.

Table of Contents

  1. Preface
  2. I. Fundamentals
  3. 1. Introduction
  4. 2. Imaging
  5. II. Contrast, Form, and Color
  6. 3. Representation and processing of images
  7. 4. Edge Detection
  8. 5. Color and color constancy
  9. III. Depth Perception
  10. 6. Stereoscopic vision
  11. 7. Shape from shading
  12. 8. Texture and surface orientation
  13. IV. Motion
  14. 9. Motion detection
  15. 10. Optical flow
  16. 11. Visual navigation
  17. V. Appendix
  18. Glossary of mathematical terms
  19. Mathematical symbols and units
  20. References
  21. Author Index
  22. Subject Index