Show simple item record

hal.structure.identifier
dc.contributor.authorSolomon, Justin*
hal.structure.identifier
dc.contributor.authorPeyré, Gabriel
HAL ID: 1211
*
hal.structure.identifier
dc.contributor.authorKim, Vladimir G.*
hal.structure.identifier
dc.contributor.authorSra, Suvrit*
dc.date.accessioned2017-03-15T15:05:02Z
dc.date.available2017-03-15T15:05:02Z
dc.date.issued2016
dc.identifier.issn0730-0301
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/16361
dc.language.isoenen
dc.subjectentropyen
dc.subjectGromov-Wassersteinen
dc.subjectoptimal transporten
dc.subjectmatchingen
dc.subject.ddc519en
dc.titleEntropic metric alignment for correspondence problemsen
dc.typeCommunication / Conférence
dc.description.abstractenMany shape and image processing tools rely on computation of correspondences between geometric domains. Efficient methods that stably extract "soft" matches in the presence of diverse geometric structures have proven to be valuable for shape retrieval and transfer of labels or semantic information. With these applications in mind, we present an algorithm for probabilistic correspondence that optimizes an entropy-regularized Gromov-Wasserstein (GW) objective. Built upon recent developments in numerical optimal transportation, our algorithm is compact, provably convergent, and applicable to any geometric domain expressible as a metric measure matrix. We provide comprehensive experiments illustrating the convergence and applicability of our algorithm to a variety of graphics tasks. Furthermore, we expand entropic GW correspondence to a framework for other matching problems, incorporating partial distance matrices, user guidance, shape exploration, symmetry detection, and joint analysis of more than two domains. These applications expand the scope of entropic GW correspondence to major shape analysis problems and are stable to distortion and noise.en
dc.relation.isversionofjnlnameACM Transactions on Graphics
dc.relation.isversionofjnlvol35en
dc.relation.isversionofjnlissue4en
dc.relation.isversionofjnldate2016
dc.relation.isversionofjnlpagesn°72en
dc.relation.isversionofdoi10.1145/2897824.2925903en
dc.identifier.urlsitehttps://hal.archives-ouvertes.fr/hal-01305808en
dc.relation.isversionofjnlpublisherAssociation for Computing Machineryen
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.conftitle43rd international conference and exhibition on Computer Graphics & Interactive Techniques (SIGGRAPH 2016)
dc.relation.confdate2016-07
dc.relation.confcityAnaheim
dc.relation.confcountryEtats-Unis
dc.relation.forthcomingnonen
dc.relation.forthcomingprintnonen
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewedouien
dc.relation.Isversionofjnlpeerreviewedouien
dc.date.updated2017-03-09T14:18:19Z
hal.author.functionaut
hal.author.functionaut
hal.author.functionaut
hal.author.functionaut


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record