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Adaptive support-weight approach for correspondence search

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dc.contributor.authorYoon, Kuk-Jinko
dc.contributor.authorKweon, In-Soko
dc.date.accessioned2010-12-15T01:56:54Z-
dc.date.available2010-12-15T01:56:54Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2006-04-
dc.identifier.citationIEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.28, no.4, pp.650 - 656-
dc.identifier.issn0162-8828-
dc.identifier.urihttp://hdl.handle.net/10203/21048-
dc.description.abstractWe present a new window-based method for correspondence search using varying support-weights. We adjust the support-weights of the pixels in a given support window based on color similarity and geometric proximity to reduce the image ambiguity. Our method outperforms other local methods on standard stereo benchmarks.-
dc.description.sponsorshipThis research was supported by the Korean Ministry of Science and Technology for the National Research Laboratory Program (grant number M1-0302-00-0064).en
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherIEEE COMPUTER SOC-
dc.titleAdaptive support-weight approach for correspondence search-
dc.typeArticle-
dc.identifier.wosid000235253300014-
dc.identifier.scopusid2-s2.0-33144482417-
dc.type.rimsART-
dc.citation.volume28-
dc.citation.issue4-
dc.citation.beginningpage650-
dc.citation.endingpage656-
dc.citation.publicationnameIEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE-
dc.identifier.doi10.1109/TPAMI.2006.70-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorYoon, Kuk-Jin-
dc.contributor.localauthorKweon, In-So-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorstereo-
dc.subject.keywordAuthor3D/stereo scene analysis-
dc.subject.keywordPlusSTEREO CORRESPONDENCE-
dc.subject.keywordPlusALGORITHM-
dc.subject.keywordPlusWINDOW-
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