Depth From Defocus: A Real Aperture Imaging Approach

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Last edited by ImportBot
February 27, 2022 | History

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. 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.

Publish Date
Language
English
Pages
172

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Previews available in: English

Edition Availability
Cover of: Depth From Defocus: A Real Aperture Imaging Approach
Depth From Defocus: A Real Aperture Imaging Approach
1999, Springer New York, Imprint, Springer
electronic resource / in English

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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.

Edition Notes

Published in
New York, NY

Classifications

Library of Congress
TA1634

The Physical Object

Format
[electronic resource] /
Pagination
1 online resource (XIX, 172 pages 58 illustrations)
Number of pages
172

ID Numbers

Open Library
OL27030137M
Internet Archive
depthfromdefocus00chau
ISBN 10
1461214904
ISBN 13
9781461214908
OCLC/WorldCat
840278140

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
February 27, 2022 Edited by ImportBot import existing book
June 29, 2019 Created by MARC Bot Imported from Internet Archive item record