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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. 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.
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Edition | Availability |
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1
Depth From Defocus: A Real Aperture Imaging Approach
1999, Springer New York, Imprint, Springer
electronic resource /
in English
1461214904 9781461214908
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Book Details
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.
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June 29, 2019 | Created by MARC Bot | import new book |