Depth From Defocus: A Real Aperture Imaging Approach

  • Subhasis Chaudhuri
  • A. N. Rajagopalan

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

  • Subhasis Chaudhuri
    • 1
  • A. N. Rajagopalan
    • 1
  1. 1.Department of Electrical EngineeringIndian Institute of TechnologyPowai, BombayIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-1490-8
  • Copyright Information Springer-Verlag New York, Inc. 1999
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-7164-2
  • Online ISBN 978-1-4612-1490-8
  • About this book