Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/50377
Campo DC Valoridioma
dc.contributor.authorMedeiros, Marcos D.en_US
dc.contributor.authorGonçalves, Luiz Marcos G.en_US
dc.contributor.authorFrery, Alejandro C.en_US
dc.contributor.otherGoncalves, Luiz-
dc.contributor.otherFrery, Alejandro-
dc.date.accessioned2018-11-24T15:33:52Z-
dc.date.available2018-11-24T15:33:52Z-
dc.date.issued2010en_US
dc.identifier.issn1424-8220en_US
dc.identifier.urihttp://hdl.handle.net/10553/50377-
dc.description.abstractStereo matching is an open problem in Computer Vision, for which local features are extracted to identify corresponding points in pairs of images. The results are heavily dependent on the initial steps. We apply image decomposition in multiresolution levels, for reducing the search space, computational time, and errors. We propose a solution to the problem of how deep (coarse) should the stereo measures start, trading between error minimization and time consumption, by starting stereo calculation at varying resolution levels, for each pixel, according to fuzzy decisions. Our heuristic enhances the overall execution time since it only employs deeper resolution levels when strictly necessary. It also reduces errors because it measures similarity between windows with enough details. We also compare our algorithm with a very fast multi-resolution approach, and one based on fuzzy logic. Our algorithm performs faster and/or better than all those approaches, becoming, thus, a good candidate for robotic vision applications. We also discuss the system architecture that efficiently implements our solution.en_US
dc.languageengen_US
dc.publisher1424-8220
dc.relation.ispartofSensorsen_US
dc.sourceSensors [ISSN 1424-8220], v. 10, p. 1093-1118 (Enero 2010)en_US
dc.subject2209 Ópticaen_US
dc.subject.otherImage analysisen_US
dc.subject.otherFuzzy rulesen_US
dc.subject.otherMultiresolutionen_US
dc.subject.otherSensor configurationen_US
dc.subject.otherStereo matchingen_US
dc.subject.otherVisionen_US
dc.titleUsing fuzzy logic to enhance stereo matching in multiresolution imagesen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/100201093en_US
dc.identifier.scopus77950258670-
dc.identifier.isi000274928900005-
dcterms.isPartOfSensors
dcterms.sourceSensors[ISSN 1424-8220],v. 10 (2), p. 1093-1118
dc.contributor.authorscopusid24802749600-
dc.contributor.authorscopusid8843298100-
dc.contributor.authorscopusid7003561251-
dc.description.lastpage1118en_US
dc.description.firstpage1093en_US
dc.relation.volume10en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000274928900005-
dc.contributor.daisngid9348609-
dc.contributor.daisngid489293-
dc.contributor.daisngid215914-
dc.identifier.investigatorRIDC-3786-2009-
dc.identifier.investigatorRIDA-8855-2008-
dc.utils.revisionen_US
dc.date.coverdateEnero 2010en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-TELen_US
dc.description.jcr1,774
dc.description.jcrqQ3
dc.description.scieSCIE
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.orcid0000-0002-8002-5341-
crisitem.author.fullNameC. Frery, Alejandro-
Colección:Artículos
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