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Depth From Defocus: A Real Aperture Imaging Approach

  • Book
  • © 1999

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Authors:
  1. Subhasis Chaudhuri

    1. Department of Electrical Engineering, Indian Institute of Technology, Powai, Bombay, India

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  2. A. N. Rajagopalan

    1. Department of Electrical Engineering, Indian Institute of Technology, Powai, Bombay, India

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xix
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  2. Passive Methods for Depth Recovery

    • Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 1-13

  3. Depth Recovery from Defocused Images

    • Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 14-27

  4. Mathematical Background

    • Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 28-39

  5. Depth Recovery with a Block Shift-Variant Blur Model

    • Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 40-54

  6. Space-Variant Filtering Models for Recovering Depth

    • Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 55-69

  7. ML Estimation of Depth and Optimal Camera Settings

    • Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 70-90

  8. Recursive Computation of Depth from Multiple Images

    • Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 91-104

  9. MRF Model-Based Identification of Shift-Variant PSF

    • Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 105-121

  10. Simultaneous Depth Recovery and Image Restoration

    • Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 122-140

  11. Conclusions

    • Subhasis Chaudhuri, A. N. Rajagopalan
    Pages 141-149

  12. Back Matter

    Pages 150-172
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Keywords

About this book

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.

Authors and Affiliations

  • Department of Electrical Engineering, Indian Institute of Technology, Powai, Bombay, India

    Subhasis Chaudhuri, A. N. Rajagopalan

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