3D shape retrieval using viewpoint information-theoretic measures
dc.contributor.author
dc.date.accessioned
2015-12-04T08:55:44Z
dc.date.available
2015-12-04T08:55:44Z
dc.date.issued
2015
dc.identifier.issn
1546-4261
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dc.description.abstract
In this paper, we present an information-theoretic framework to compute the shape similarity between 3D polygonal models. Given a 3D model, an information channel between a sphere of viewpoints around the model and its polygonal mesh is defined to compute the specific information associated with each viewpoint. The obtained information sphere can be seen as a shape descriptor of the model. Then, given two models, their similarity is obtained by performing a registration process between the corresponding information spheres. The distance between the information histograms is also defined as a coarse measure of similarity, as well as the scalar value given by the mutual information of the channel. The performance of all these measures is tested using the Princeton Shape Benchmark database
dc.description.sponsorship
This work has been founded in part by grant number TIN2010-21089-C03-01 and BES-2011-045252 of Spanish Government, grant number 2009-SGR-643 of Generalitat de Catalunya (Catalan Government), and National Natural Science Foundation of China (Nos. 61331018, 61372190)
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Wiley
dc.relation
info:eu-repo/grantAgreement/MICINN//TIN2010-21089-C03-01/ES/CONTENIDO DIGITAL PARA JUEGOS SERIOS: CREACION, GESTION, RENDERIZADO E INTERACCION/
AGAUR/2009-2014/2009 SGR-643
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Reproducció digital del document publicat a: http://dx.doi.org/10.1002/cav.1566
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© Computer Animation and Virtual Worlds, 2015, vol. 26, núm. 2, p. 147-159
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Articles publicats (D-IMA)
dc.rights
Tots els drets reservats
dc.subject
dc.title
3D shape retrieval using viewpoint information-theoretic measures
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/embargoedAccess
dc.embargo.terms
Cap
dc.date.embargoEndDate
info:eu-repo/date/embargoEnd/2026-01-01
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
022880
dc.contributor.funder
dc.relation.ProjectAcronym
dc.identifier.eissn
1546-427X