Fully Spectral Partial Shape Matching

dc.contributor.authorLitany, Oren_US
dc.contributor.authorRodolà, Emanueleen_US
dc.contributor.authorBronstein, Alex M.en_US
dc.contributor.authorBronstein, Michael M.en_US
dc.contributor.editorLoic Barthe and Bedrich Benesen_US
dc.date.accessioned2017-04-22T16:26:35Z
dc.date.available2017-04-22T16:26:35Z
dc.date.issued2017
dc.description.abstractWe propose an efficient procedure for calculating partial dense intrinsic correspondence between deformable shapes performed entirely in the spectral domain. Our technique relies on the recently introduced partial functional maps formalism and on the joint approximate diagonalization (JAD) of the Laplace-Beltrami operators previously introduced for matching non-isometric shapes. We show that a variant of the JAD problem with an appropriately modified coupling term (surprisingly) allows to construct quasi-harmonic bases localized on the latent corresponding parts. This circumvents the need to explicitly compute the unknown parts by means of the cumbersome alternating minimization used in the previous approaches, and allows performing all the calculations in the spectral domain with constant complexity independent of the number of shape vertices. We provide an extensive evaluation of the proposed technique on standard non-rigid correspondence benchmarks and show state-of-the-art performance in various settings, including partiality and the presence of topological noise.en_US
dc.description.number2
dc.description.sectionheadersShape Matching
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume36
dc.identifier.doi10.1111/cgf.13123
dc.identifier.issn1467-8659
dc.identifier.pages247-258
dc.identifier.urihttps://doi.org/10.1111/cgf.13123
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13123
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.5 [Computer Graphics]
dc.subjectComputational Geometry and Object Modeling
dc.subjectShape Analysis
dc.titleFully Spectral Partial Shape Matchingen_US
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