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dc.contributor.authorRabin, Julien*
dc.contributor.authorPeyré, Gabriel*
dc.contributor.authorCohen, Laurent D.*
dc.date.accessioned2017-03-18T10:54:48Z
dc.date.available2017-03-18T10:54:48Z
dc.date.issued2010
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/16392
dc.language.isoenen
dc.subject2-D and 3-D shape retrievalen
dc.subject.ddc621.3en
dc.titleGeodesic Shape Retrieval via Optimal Mass Transporten
dc.typeCommunication / Conférence
dc.description.abstractenThis paper presents a new method for 2-D and 3-D shape retrieval based on geodesic signatures. These signatures are high dimensional statistical distributions computed by extracting several features from the set of geodesic distance maps to each point. The resulting high dimensional distributions are matched to perform retrieval using a fast approximate Wasserstein metric. This allows to propose a unifying framework for the compact description of planar shapes and 3-D surfaces.en
dc.identifier.citationpages771-784en
dc.relation.ispartoftitleComputer Vision – ECCV 2010. 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part Ven
dc.relation.ispartofeditorKostas Daniilidis, Petros Maragos, Nikos Paragios
dc.relation.ispartofpublnameSpringer Berlin Heidelbergen
dc.relation.ispartofdate2010
dc.relation.ispartofurl10.1007/978-3-642-15555-0en
dc.identifier.urlsitehttps://hal.archives-ouvertes.fr/hal-00498607en
dc.subject.ddclabelTraitement du signalen
dc.relation.ispartofisbn978-3-642-15554-3en
dc.relation.conftitle11th European Conference on Computer Vision – ECCV 2010en
dc.relation.confdate2010-09
dc.relation.confcityHeraklion (Crète)en
dc.relation.confcountryGreeceen
dc.relation.forthcomingnonen
dc.identifier.doi10.1007/978-3-642-15555-0_56en
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2017-03-13T13:50:22Z
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