Anisotropic Diffusion Descriptors

dc.contributor.authorBoscaini, Davideen_US
dc.contributor.authorMasci, Jonathanen_US
dc.contributor.authorRodolà, Emanueleen_US
dc.contributor.authorBronstein, Michael M.en_US
dc.contributor.authorCremers, Danielen_US
dc.contributor.editorJoaquim Jorge and Ming Linen_US
dc.date.accessioned2016-04-26T08:38:51Z
dc.date.available2016-04-26T08:38:51Z
dc.date.issued2016en_US
dc.description.abstractSpectral methods have recently gained popularity in many domains of computer graphics and geometry processing, especially shape processing, computation of shape descriptors, distances, and correspondence. Spectral geometric structures are intrinsic and thus invariant to isometric deformations, are efficiently computed, and can be constructed on shapes in different representations. A notable drawback of these constructions, however, is that they are isotropic, i.e., insensitive to direction. In this paper, we show how to construct direction-sensitive spectral feature descriptors using anisotropic diffusion on meshes and point clouds. The core of our construction are directed local kernels acting similarly to steerable filters, which are learned in a task-specific manner. Remarkably, while being intrinsic, our descriptors allow to disambiguate reflection symmetries. We show the application of anisotropic descriptors for problems of shape correspondence on meshes and point clouds, achieving results significantly better than state-of-the-art methods.en_US
dc.description.number2en_US
dc.description.sectionheadersGeometric Modelingen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume35en_US
dc.identifier.doi10.1111/cgf.12844en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages431-441en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12844en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3 [Computer Graphics]en_US
dc.subjectShape modelingen_US
dc.subjectShape analysisen_US
dc.titleAnisotropic Diffusion Descriptorsen_US
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