Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning

This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is...

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Detalles Bibliográficos
Autores principales: Mordohai, Philippos, Medioni, Gérard
Lenguaje:eng
Publicado: Morgan & Claypool Publishers 2006
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/1486617
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author Mordohai, Philippos
Medioni, Gérard
author_facet Mordohai, Philippos
Medioni, Gérard
author_sort Mordohai, Philippos
collection CERN
description This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is not in chronological order. It aims at presenting an approach to a wide range of problems in computer vision and machine learning that is data-driven, local and requires a minimal number of assumptions. The tensor voting framework combines these properties and provides a unified perceptual organiza
id cern-1486617
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2006
publisher Morgan & Claypool Publishers
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spelling cern-14866172021-04-22T00:16:40Zhttp://cds.cern.ch/record/1486617engMordohai, PhilipposMedioni, GérardTensor Voting: A Perceptual Organization Approach to Computer Vision and Machine LearningComputing and ComputersThis lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is not in chronological order. It aims at presenting an approach to a wide range of problems in computer vision and machine learning that is data-driven, local and requires a minimal number of assumptions. The tensor voting framework combines these properties and provides a unified perceptual organizaMorgan & Claypool Publishersoai:cds.cern.ch:14866172006
spellingShingle Computing and Computers
Mordohai, Philippos
Medioni, Gérard
Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning
title Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning
title_full Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning
title_fullStr Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning
title_full_unstemmed Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning
title_short Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning
title_sort tensor voting: a perceptual organization approach to computer vision and machine learning
topic Computing and Computers
url http://cds.cern.ch/record/1486617
work_keys_str_mv AT mordohaiphilippos tensorvotingaperceptualorganizationapproachtocomputervisionandmachinelearning
AT medionigerard tensorvotingaperceptualorganizationapproachtocomputervisionandmachinelearning

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