Affine-Invariant Photometric Heat Kernel Signatures

dc.contributor.authorKovnatsky, Artiomen_US
dc.contributor.authorBronstein, Michael M.en_US
dc.contributor.authorBronstein, Alexander M.en_US
dc.contributor.authorRaviv, Danen_US
dc.contributor.authorKimmel, Ronen_US
dc.contributor.editorM. Spagnuolo and M. Bronstein and A. Bronstein and A. Ferreiraen_US
dc.date.accessioned2013-09-24T10:53:06Z
dc.date.available2013-09-24T10:53:06Z
dc.date.issued2012en_US
dc.description.abstractIn this paper, we explore the use of the diffusion geometry framework for the fusion of geometric and photometric information in local shape descriptors. Our construction is based on the definition of a modified metric, which combines geometric and photometric information, and then the diffusion process on the shape manifold is simulated. Experimental results show that such data fusion is useful in coping with shape retrieval experiments, where pure geometric and pure photometric methods fail. Apart from retrieval task the proposed diffusion process may be employed in other applications.en_US
dc.description.sectionheadersSession 2en_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.isbn978-3-905674-36-1en_US
dc.identifier.issn1997-0463en_US
dc.identifier.urihttps://doi.org/10.2312/3DOR/3DOR12/039-046en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Laplace-Beltrami operator-, diffusion equation, heat kernel descriptors, 3D shape retrieval, deformation invarianceen_US
dc.titleAffine-Invariant Photometric Heat Kernel Signaturesen_US
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