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dc.contributor.authorRodolà, Emanueleen_US
dc.contributor.authorMoeller, Michaelen_US
dc.contributor.authorCremers, Danielen_US
dc.contributor.editorDavid Bommes and Tobias Ritschel and Thomas Schultzen_US
dc.date.accessioned2015-10-07T05:13:32Z
dc.date.available2015-10-07T05:13:32Z
dc.date.issued2015en_US
dc.identifier.isbn978-3-905674-95-8en_US
dc.identifier.urihttp://dx.doi.org/10.2312/vmv.20151254en_US
dc.description.abstractSince their introduction in the shape analysis community, functional maps have met with considerable success due to their ability to compactly represent dense correspondences between deformable shapes. Despite the numerous advantages of such representation, however, the problem of converting a given functional map back to a point-topoint map has received a surprisingly limited interest. In this paper we analyze the general problem of point-wise map recovery from arbitrary functional maps. In doing so, we rule out many of the assumptions required by the currently established approach - most notably, the limiting requirement of the input shapes being nearlyisometric. We devise an efficient recovery process based on a simple probabilistic model. Experiments confirm that this approach achieves remarkable accuracy improvements in very challenging cases.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.8 [Computer Graphics]en_US
dc.subjectScene Analysisen_US
dc.subjectShapeen_US
dc.titlePoint-wise Map Recovery and Refinement from Functional Correspondenceen_US
dc.description.seriesinformationVision, Modeling & Visualizationen_US
dc.description.sectionheadersGeometryen_US
dc.identifier.doi10.2312/vmv.20151254en_US
dc.identifier.pages25-32en_US


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  • VMV15
    ISBN 978-3-905674-95-8

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