Segmentation Quality for Augmented Reality: An Objective Metric
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
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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Repositório Institucional da UNESP |
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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 |
|
_version_ |
1808129253666979840 |