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© 1999

Depth From Defocus: A Real Aperture Imaging Approach

Book

Table of contents

  1. Front Matter
    Pages i-xix
  2. Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 1-13
  3. Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 14-27
  4. Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 28-39
  5. Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 40-54
  6. Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 55-69
  7. Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 70-90
  8. Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 91-104
  9. Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 105-121
  10. Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 122-140
  11. Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 141-149
  12. Back Matter
    Pages 150-172

About this book

Introduction

Computer vision is becoming increasingly important in several industrial applications such as automated inspection, robotic manipulations and autonomous vehicle guidance. These tasks are performed in a 3-D world and it is imperative to gather reliable information on the 3-D structure of the scene. This book is about passive techniques for depth recovery, where the scene is illuminated only by natural light as opposed to active methods where a special lighting device is used for scene illumination. Passive methods have a wider range of applicability and also correspond to the way humans infer 3-D structure from visual images.

Keywords

Computer Vision Markov Random Field algorithms autonom filtering image restoration industrial robot machine vision model robot robotics

Authors and affiliations

  1. 1.Department of Electrical EngineeringIndian Institute of TechnologyPowai, BombayIndia

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