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dc.contributor.authorYin, Jianfeng
dc.contributor.authorCooperstock, Jeremy R.
dc.contributor.editorSkala, Václav
dc.date.accessioned2013-11-28T12:46:32Z-
dc.date.available2013-11-28T12:46:32Z-
dc.date.issued2004
dc.identifier.citationWSCG '2004: Short Communications: the 12-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2004, 2.-6. February 2004 Plzeň, p. 305-311.en
dc.identifier.isbn80-903100-5-2
dc.identifier.urihttp://wscg.zcu.cz/WSCG2004/Papers_2004_Short/N83.pdf
dc.identifier.urihttp://hdl.handle.net/11025/6571
dc.description.abstractDense depth maps, typically produced by stereo algorithms, are essential for various computer vision applications. For general configurations in which the cameras are not necessarily parallel or close together, it often proves difficult to obtain reasonable results for complex scenes, in particular in occluded or textureless regions. To improve the depth map in such regions, we propose a post-processing method and illustrate its benefits to applications such as 3D reconstruction or foreground segmentation of a user in a scene.en
dc.format7 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG '2004: Short Communicationsen
dc.rights© Václav Skala - UNION Agencycs
dc.subjecthloubkové mapycs
dc.subjectkorespondenční problémcs
dc.subjectnelineární difúzecs
dc.subject3D rekonstrukcecs
dc.titleImproving Depth Maps by Nonlinear Diffusionen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translateddepth mapsen
dc.subject.translatedstereo matchingen
dc.subject.translatednonlinear diffusionen
dc.subject.translated3D reconstructionen
dc.type.statusPeer-revieweden
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