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dc.contributor.authorDellen, Babette
dc.contributor.authorWörgötter, Florentin
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2010-04-15T16:19:10Z
dc.date.available2010-04-15T16:19:10Z
dc.date.created2009
dc.date.issued2009
dc.identifier.citationDellen, B.; Wörgötter , F. Disparity from stereo-segment silhouettes of weakly-textured images. A: British Machine Vision Conference. "20'th British Machine Vision Conference". London: 2009, p. 111.
dc.identifier.urihttp://hdl.handle.net/2117/6950
dc.description.abstractWe propose a novel robust stereo algorithm for weakly-textured scenes. Unique correspondences existing between the silhouettes of corresponding image segments allow assigning accurate disparities to segment boundary points. This information as well as stereo from the weak texture inside segments, which is extracted using a regionconstrained window-based matching algorithm, are fused and disparities are interpolated inside segments while considering potentially occluded areas derived from the depthordering of segments. The algorithm is applied to a set of weakly-textured images and it is demonstrated that stereo from segment silhouettes often provides sufficient information to reconstruct disparities in weakly- and non-textured image areas. The algorithm is applied to several real stereo images and its performance is evaluated quantitatively using images from the 2006 Middlebury dataset.
dc.format.extent1 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes
dc.subject.lcshPattern recognition systems
dc.titleDisparity from stereo-segment silhouettes of weakly-textured images
dc.typeConference report
dc.subject.lemacReconeixement de formes (Informàtica)
dc.subject.inspecClassificació INSPEC::Pattern recognition
dc.relation.publisherversionhttp://www.bmva.org/bmvc/2009/index.htm
dc.rights.accessOpen Access
drac.iddocument2454339
dc.description.versionPostprint (published version)
upcommons.citation.authorDellen, B.; Wörgötter , F.
upcommons.citation.contributorBritish Machine Vision Conference
upcommons.citation.pubplaceLondon
upcommons.citation.publishedtrue
upcommons.citation.publicationName20'th British Machine Vision Conference
upcommons.citation.startingPage111
upcommons.citation.endingPage111


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