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3-D shape estimation and image restoration : exploiting defocus and motion blur

Author: Paolo Favaro; Stefano Soatto
Publisher: London : Springer, ©2007.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Presents a coherent framework for the analysis and design of algorithms to estimate 3-D shape from defocused and motion blurred images, and to eliminate defocus and motion blur to yield ""restored"" images. This book provides a collection of algorithms that are optimal with respect to the chosen model & estimation criterion.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Favaro, Paolo.
3-D shape estimation and image restoration.
London : Springer, ©2007
(DLC) 2006931781
(OCoLC)70987384
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Paolo Favaro; Stefano Soatto
ISBN: 9781846286889 1846286883 1846281768 9781846281761 6610805091 9786610805099 1849965595 9781849965590
OCLC Number: 184908568
Language Note: English.
Description: 1 online resource (xiv, 249 pages) : illustrations
Contents: Basic models of image formation --
Some analysis: When can 3-D shape be reconstructed from blurred images? --
Least-squares shape from defocus --
Enforcing positivity: Shape from defocus and image restoration by minimizing I-divergence --
Defocus via diffusion: Modeling and reconstruction --
Dealing with motion: Unifying defocus and motion blur --
Dealing with multiple moving objects --
Dealing with occlusions --
Final remarks.
Responsibility: Paolo Favaro and Stefano Soatto.
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In the areas of image processing and computer vision, there is a particular need for software that can infer the three-dimensional shape of a scene. This book describes the analytical processes that  Read more...

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"This book presents a framework for estimating three-dimensional (3D) shapes from defocused and motion-blurred images. The book systematically describes various problems involved in estimating 3D Read more...

 
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