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dc.contributor.authorPITIE, FRANCOISen
dc.date.accessioned2010-04-29T15:55:24Z
dc.date.available2010-04-29T15:55:24Z
dc.date.issued2009en
dc.date.submitted2009en
dc.identifier.citationF. Pitie, Using One Graph-Cut to Fuse Multiple Candidate Maps in Depth Estimation., IEEE European Conference on Visual Media Production (CVMP), London, UK, 2009, 1-8en
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/39300
dc.descriptionPUBLISHEDen
dc.description.abstractGraph-cut techniques for depth and disparity estimations are known to be powerful but also slow. We propose a graph-cut framework that is able to estimate depth maps from a set of candidate values. By employing a restricted set of candidates for each pixel, rough depth maps can be effectively refined to be accurate, smooth and continuous. The contribution of this work is to extend the graph structure proposed in the original papers on Graph-Cuts by Ishikawa and Roy, in such a way that sparse sets of candidates can be handled in one graph-cut.en
dc.description.sponsorshipThis work was funded by the FP7 European Project i3Dpost.en
dc.format.extent1-8en
dc.language.isoenen
dc.rightsYen
dc.subject.lcshGraph-Cut, Depth Map Estimation,en
dc.titleUsing One Graph-Cut to Fuse Multiple Candidate Maps in Depth Estimation.en
dc.title.alternativeIEEE European Conference on Visual Media Production (CVMP)en
dc.typeConference Paperen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/pitiefen
dc.identifier.rssinternalid64069en
dc.identifier.rssurihttp://www.mee.tcd.ie/~sigmedia/pmwiki/uploads/Main.Publications/fpitie09b.pdfen


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