Stereo Scene Flow for 3D Motion Analysis

This book presents methods for estimating optical flow and scene flow motion with high accuracy, focusing on the practical application of these methods in camera-based driver assistance systems. Clearly and logically structured, the book builds from basic themes to more advanced concepts, culminatin...

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Detalles Bibliográficos
Autores principales: Wedel, Andreas, Cremers, Daniel
Lenguaje:eng
Publicado: Springer 2011
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/1486189
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author Wedel, Andreas
Cremers, Daniel
author_facet Wedel, Andreas
Cremers, Daniel
author_sort Wedel, Andreas
collection CERN
description This book presents methods for estimating optical flow and scene flow motion with high accuracy, focusing on the practical application of these methods in camera-based driver assistance systems. Clearly and logically structured, the book builds from basic themes to more advanced concepts, culminating in the development of a novel, accurate and robust optic flow method. Features: reviews the major advances in motion estimation and motion analysis, and the latest progress of dense optical flow algorithms; investigates the use of residual images for optical flow; examines methods for deriving mot
id cern-1486189
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2011
publisher Springer
record_format invenio
spelling cern-14861892021-04-22T00:18:51Zhttp://cds.cern.ch/record/1486189engWedel, AndreasCremers, DanielStereo Scene Flow for 3D Motion AnalysisComputing and ComputersThis book presents methods for estimating optical flow and scene flow motion with high accuracy, focusing on the practical application of these methods in camera-based driver assistance systems. Clearly and logically structured, the book builds from basic themes to more advanced concepts, culminating in the development of a novel, accurate and robust optic flow method. Features: reviews the major advances in motion estimation and motion analysis, and the latest progress of dense optical flow algorithms; investigates the use of residual images for optical flow; examines methods for deriving motSpringeroai:cds.cern.ch:14861892011
spellingShingle Computing and Computers
Wedel, Andreas
Cremers, Daniel
Stereo Scene Flow for 3D Motion Analysis
title Stereo Scene Flow for 3D Motion Analysis
title_full Stereo Scene Flow for 3D Motion Analysis
title_fullStr Stereo Scene Flow for 3D Motion Analysis
title_full_unstemmed Stereo Scene Flow for 3D Motion Analysis
title_short Stereo Scene Flow for 3D Motion Analysis
title_sort stereo scene flow for 3d motion analysis
topic Computing and Computers
url http://cds.cern.ch/record/1486189
work_keys_str_mv AT wedelandreas stereosceneflowfor3dmotionanalysis
AT cremersdaniel stereosceneflowfor3dmotionanalysis

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