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Fast Algorithms for Stereo Matching

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Synopses & Reviews

Publisher Comments:

An ongoing effort is being made in the field of computer vision to refine algorithms for optimal/better performance, which can mean reliability and increased computational speed. This is highly important given that vision problems are much larger than ever before. One way to satisfy part of the demand is to design more efficient and clever algorithms that optimize computations in an existing processor, rather than require expanded processor performance. Such fast algorithms are becoming increasingly important for tele-reality, interactive media and visual serving applications. This book presents some fast and reliable algorithms for dense stereo matching and optical-flow estimations using a general language, such as C, rather than dedicated hardware implementation. "Dense" in this instance means performing stereo matching for every point on the image rather than just matching features such as points, lines or regions. Techniques described are: fast algorithms for similarity measure, use of subregioning technique to expedite similarity calculation, multiresolution scheme, fast 3-D surface technique for stereo matching, and stereo matching using warping. Fast Algorithms for Stereo Matching is useful for academics, professionals, researchers, practitioners, and advanced graduate students in the areas of computer vision, digital photogrammetry, and 3-D video coding.

Synopsis:

This resource should be useful for academics, professionals, researchers, practitioners, and advanced graduate students in the areas of computer vision, digital photogrammetry, and 3-D video coding.

Synopsis:

This book presents fast and reliable algorithms for dense stereo matching - for every point on the image - and optical-flow estimations using a general language, such as C, optimize computations in an existing processor.

Synopsis:

Computer vision problems are much larger than ever before. One way to satisfy demand is to design more efficient and clever algorithms that optimize computations in an existing processor. Such fast algorithms are becoming increasingly important for tele-reality, interactive media and visual serving applications. This book presents fast and reliable algorithms for dense stereo matching - for every point on the image - and optical-flow estimations using a general language, such as C, rather than dedicated hardware implementation. Techniques described are: fast algorithms for similarity measure, use of subregioning technique to expedite similarity calculation, multiresolution scheme, fast 3-D surface technique for stereo matching, and stereo matching using warping. Fast Algorithms for Stereo Matching is a useful reference for academics, professionals, researchers, practitioners, and advanced graduate students in the areas of computer vision, digital photogrammetry, and 3-D video coding.

Table of Contents

Introduction.- Stereo vision.- Fast calculation of similarity measures.- Rectangular subregioning.- Multi-resolution Scheme.- Fast stereo matching.- Stereo matching using 3-D surface.- Stereo matching using warping.- Panoramic stereo matching.- Fast optical flow.- Discussions on reliability and speed.- Applications.

Product Details

ISBN:
9780387954240
Author:
Sun, Changming
Publisher:
Springer
Location:
Boston, MA
Subject:
Computer Science
Subject:
Computer Graphics - General
Subject:
Computer Vision
Subject:
Computer graphics
Subject:
Computers-Reference - General
Subject:
Algorithms
Subject:
stereo matching
Subject:
Sun
Subject:
Pattern recognition.
Subject:
Image Processing and Computer Vision
Subject:
Simulation and Modeling
Subject:
Language, literature and biography
Subject:
Optical pattern recognition
Subject:
Computer simulation
Copyright:
Edition Number:
1
Edition Description:
2013
Publication Date:
December 2007
Binding:
HARDCOVER
Language:
English
Illustrations:
70 schw.-w. Abb., 70 schw.-w. Zeichn.
Pages:
270
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Graphics » General
Computers and Internet » Personal Computers » General
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Health and Self-Help » Health and Medicine » Medical Specialties
Science and Mathematics » Physics » General

Fast Algorithms for Stereo Matching New Hardcover
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Product details 270 pages Springer - English 9780387954240 Reviews:
"Synopsis" by , This resource should be useful for academics, professionals, researchers, practitioners, and advanced graduate students in the areas of computer vision, digital photogrammetry, and 3-D video coding.
"Synopsis" by , This book presents fast and reliable algorithms for dense stereo matching - for every point on the image - and optical-flow estimations using a general language, such as C, optimize computations in an existing processor.
"Synopsis" by , Computer vision problems are much larger than ever before. One way to satisfy demand is to design more efficient and clever algorithms that optimize computations in an existing processor. Such fast algorithms are becoming increasingly important for tele-reality, interactive media and visual serving applications. This book presents fast and reliable algorithms for dense stereo matching - for every point on the image - and optical-flow estimations using a general language, such as C, rather than dedicated hardware implementation. Techniques described are: fast algorithms for similarity measure, use of subregioning technique to expedite similarity calculation, multiresolution scheme, fast 3-D surface technique for stereo matching, and stereo matching using warping. Fast Algorithms for Stereo Matching is a useful reference for academics, professionals, researchers, practitioners, and advanced graduate students in the areas of computer vision, digital photogrammetry, and 3-D video coding.
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