Segmentation Quality for Augmented Reality: An Objective Metric

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniv Tecnol Fed Parana
dc.contributorUniversidade de São Paulo (USP)
dc.date.accessioned2018-11-26T15:30:00Z
dc.date.available2018-11-26T15:30:00Z
dc.date.created2018-11-26T15:30:00Z
dc.date.issued2015-01-01
dc.identifier2015 Xvii Symposium On Virtual And Augmented Reality. New York: Ieee, p. 212-219, 2015.
dc.identifier2377-746X
dc.identifierhttp://hdl.handle.net/11449/158927
dc.identifier10.1109/SVR.2015.38
dc.identifierWOS:000378418900031
dc.description.abstractAssessment 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.
dc.languageeng
dc.publisherIeee
dc.relation2015 Xvii Symposium On Virtual And Augmented Reality
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectSegmentation Assessment
dc.subjectSegmentation Quality
dc.subjectAugmented Reality
dc.titleSegmentation Quality for Augmented Reality: An Objective Metric
dc.typeActas de congresos


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