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dc.contributor.authorAlcoverro Vidal, Marcel
dc.contributor.authorPardàs Feliu, Montse
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2011-01-13T11:37:02Z
dc.date.available2011-01-13T11:37:02Z
dc.date.created2009
dc.date.issued2009
dc.identifier.citationAlcoverro, M.; Pardas, M. Visual hull reconstruction algorithms comparison: towards robustness to silhouette errors. A: International Conference on Computer Vision Theory and Applications. "International Conference on Computer Vision Theory and Applications 2009". Lisboa: 2009, p. 464-469.
dc.identifier.isbn978-989-8111-69-2
dc.identifier.urihttp://hdl.handle.net/2117/11007
dc.description.abstractIn this paper we review the main techniques for volume reconstruction from a set of views using Shape from Silhouette techniques and we propose a new method that adapts the inconsistencies analysis shown in (Landabaso et al., 2008) to the graph cuts framework (Snow et al., 2000) which allows the introduction of spatial regularization. For this aim we use a new viewing line based inconsistency analysis within a probabilistic framework. Our method adds robustness to errors by projecting back to the views the volume occupancy obtained from 2D foreground detections intersection, and analysing this projection. The final voxel occupancy of the scene is set following a maximum a posteriori (MAP) estimate. We have evaluated a sample of techniques and the new method proposed to have an objective measure of the robustness to errors in real environments.
dc.format.extent6 p.
dc.language.isoeng
dc.subject.lcshCalibration
dc.subject.lcshImage stabilization
dc.subject.lcshRobust control
dc.subject.lcshSignal theory (Telecommunication)
dc.titleVisual hull reconstruction algorithms comparison: towards robustness to silhouette errors
dc.typeConference report
dc.subject.lemacSenyal, Teoria del (Telecomunicació)
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.rights.accessOpen Access
local.identifier.drac2642455
dc.description.versionPostprint (published version)
local.citation.authorAlcoverro, M.; Pardas, M.
local.citation.contributorInternational Conference on Computer Vision Theory and Applications
local.citation.pubplaceLisboa
local.citation.publicationNameInternational Conference on Computer Vision Theory and Applications 2009
local.citation.startingPage464
local.citation.endingPage469


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