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Depth From Defocus: A Real Aperture Imaging Approach /

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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. T...

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Bibliographic Details
Main Author: Chaudhuri, Subhasis
Corporate Author: SpringerLink (Online service)
Other Authors: Rajagopalan, A. N.
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint : Springer, 1999.
Subjects:
Computer science.
Computer graphics.
Optical pattern recognition.
Computer-aided design.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Passive Methods for Depth Recovery
  • Depth Recovery from Defocused Images
  • Mathematical Background
  • Depth Recovery with a Block Shift-Variant Blur Model
  • Space-Variant Filtering Models for Recovering Depth
  • An ML Estimator of Depth and Optimal Camera Settings
  • Recursive Computation of Depth from Multiple Images
  • MRF Model-Based Identification of Shift-Variant PSF
  • Simultaneous Recovery of Depth and Image Restoration
  • Conclusions.