Segmentation Quality for Augmented Reality: An Objective Metric

Detalhes bibliográficos
Autor(a) principal: Salioni, Danilo V. [UNESP]
Data de Publicação: 2015
Outros Autores: Sanches, Silvio R. R., Silva, Valdinei F., De Gaspari, Tiago, Sementille, Antonio C. [UNESP], IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/SVR.2015.38
http://hdl.handle.net/11449/158927
Resumo: Assessment the quality of segmentation algorithms considering the user perception is an important problem in Computer Vision. For this purpose a metric must take into account the impact of different types of errors displayed to the users. In this work we developed a new objective metric to assess the quality obtained by bilayer segmentation algorithms when they are used in Augmented Reality applications. Our metric proved to be efficient for selecting the best algorithm and to adjust its parameters.
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spelling Segmentation Quality for Augmented Reality: An Objective MetricSegmentation AssessmentSegmentation QualityAugmented RealityAssessment the quality of segmentation algorithms considering the user perception is an important problem in Computer Vision. For this purpose a metric must take into account the impact of different types of errors displayed to the users. In this work we developed a new objective metric to assess the quality obtained by bilayer segmentation algorithms when they are used in Augmented Reality applications. Our metric proved to be efficient for selecting the best algorithm and to adjust its parameters.Univ Estadual Paulista, Bauru, SP, BrazilUniv Tecnol Fed Parana, Cornelio Procopio, PR, BrazilUniv Sao Paulo, Sao Paulo, SP, BrazilUniv Estadual Paulista, Bauru, SP, BrazilIeeeUniversidade Estadual Paulista (Unesp)Univ Tecnol Fed ParanaUniversidade de São Paulo (USP)Salioni, Danilo V. [UNESP]Sanches, Silvio R. R.Silva, Valdinei F.De Gaspari, TiagoSementille, Antonio C. [UNESP]IEEE2018-11-26T15:30:00Z2018-11-26T15:30:00Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject212-219http://dx.doi.org/10.1109/SVR.2015.382015 Xvii Symposium On Virtual And Augmented Reality. New York: Ieee, p. 212-219, 2015.2377-746Xhttp://hdl.handle.net/11449/15892710.1109/SVR.2015.38WOS:000378418900031Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2015 Xvii Symposium On Virtual And Augmented Realityinfo:eu-repo/semantics/openAccess2021-10-23T21:44:30Zoai:repositorio.unesp.br:11449/158927Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:49:18.042979Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Segmentation Quality for Augmented Reality: An Objective Metric
title Segmentation Quality for Augmented Reality: An Objective Metric
spellingShingle Segmentation Quality for Augmented Reality: An Objective Metric
Salioni, Danilo V. [UNESP]
Segmentation Assessment
Segmentation Quality
Augmented Reality
title_short Segmentation Quality for Augmented Reality: An Objective Metric
title_full Segmentation Quality for Augmented Reality: An Objective Metric
title_fullStr Segmentation Quality for Augmented Reality: An Objective Metric
title_full_unstemmed Segmentation Quality for Augmented Reality: An Objective Metric
title_sort Segmentation Quality for Augmented Reality: An Objective Metric
author Salioni, Danilo V. [UNESP]
author_facet Salioni, Danilo V. [UNESP]
Sanches, Silvio R. R.
Silva, Valdinei F.
De Gaspari, Tiago
Sementille, Antonio C. [UNESP]
IEEE
author_role author
author2 Sanches, Silvio R. R.
Silva, Valdinei F.
De Gaspari, Tiago
Sementille, Antonio C. [UNESP]
IEEE
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Univ Tecnol Fed Parana
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Salioni, Danilo V. [UNESP]
Sanches, Silvio R. R.
Silva, Valdinei F.
De Gaspari, Tiago
Sementille, Antonio C. [UNESP]
IEEE
dc.subject.por.fl_str_mv Segmentation Assessment
Segmentation Quality
Augmented Reality
topic Segmentation Assessment
Segmentation Quality
Augmented Reality
description Assessment the quality of segmentation algorithms considering the user perception is an important problem in Computer Vision. For this purpose a metric must take into account the impact of different types of errors displayed to the users. In this work we developed a new objective metric to assess the quality obtained by bilayer segmentation algorithms when they are used in Augmented Reality applications. Our metric proved to be efficient for selecting the best algorithm and to adjust its parameters.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01
2018-11-26T15:30:00Z
2018-11-26T15:30:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/SVR.2015.38
2015 Xvii Symposium On Virtual And Augmented Reality. New York: Ieee, p. 212-219, 2015.
2377-746X
http://hdl.handle.net/11449/158927
10.1109/SVR.2015.38
WOS:000378418900031
url http://dx.doi.org/10.1109/SVR.2015.38
http://hdl.handle.net/11449/158927
identifier_str_mv 2015 Xvii Symposium On Virtual And Augmented Reality. New York: Ieee, p. 212-219, 2015.
2377-746X
10.1109/SVR.2015.38
WOS:000378418900031
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2015 Xvii Symposium On Virtual And Augmented Reality
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 212-219
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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