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Tsallis Entropy for Geometry Simplification

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dc.contributor.author Castelló, Pascual
dc.contributor.author González, Carlos
dc.contributor.author Chover, Miguel
dc.contributor.author Sbert, Mateu
dc.contributor.author Feixas Feixas, Miquel
dc.date.issued 2011
dc.identifier.issn 1099-4300
dc.identifier.uri http://hdl.handle.net/10256/8567
dc.description.abstract This paper presents a study and a comparison of the use of different information-theoretic measures for polygonal mesh simplification. Generalized measures from Information Theory such as Havrda–Charvát–Tsallis entropy and mutual information have been applied. These measures have been used in the error metric of a surface simplification algorithm. We demonstrate that these measures are useful for simplifying three-dimensional polygonal meshes. We have also compared these metrics with the error metrics used in a geometry-based method and in an image-driven method. Quantitative results are presented in the comparison using the root-mean-square error (RMSE) cat
dc.description.sponsorship This work was supported by the Spanish Ministry of Science and Innovation (Project TIN2010-21089-C03-03 and TIN2010-21089-C03-01) and Feder Funds, Bancaixa (Project P1.1B2010-08), Generalitat Valenciana (Project PROMETEO/2010/028) and Project 2009-SGR-643 of Generalitat de Catalunya (Catalan Government)
dc.format.mimetype application/pdf cat
dc.language.iso eng cat
dc.publisher MDPI (Multidisciplinary Digital Publishing Institute) cat
dc.relation MICINN/PN 2011-2013/TIN2010-21089-C03-01
dc.relation AGAUR/2009-2014/2009 SGR-643
dc.relation.isformatof Reproducció digital del document publicat a: http://dx.doi.org/10.3390/e13101805 cat
dc.relation.ispartof Entropy, 2011, vol. 13, p. 1805-1828 cat
dc.relation.ispartofseries Articles publicats (D-IMA) cat
dc.rights Attribution 3.0 Spain *
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/ *
dc.subject Informació, Teoria de la cat
dc.subject Information theory cat
dc.subject Entropia (Teoria de la informació)
dc.subject Entropy (Information theory)
dc.title Tsallis Entropy for Geometry Simplification cat
dc.type info:eu-repo/semantics/article cat
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.embargo.terms Cap cat
dc.type.version info:eu-repo/semantics/publishedVersion cat
dc.identifier.doi http://dx.doi.org/10.3390/e13101805
dc.contributor.funder Ministerio de Ciencia e Innovación (Espanya)
dc.contributor.funder Generalitat de Catalunya. Agència de Gestió d'Ajuts Universitaris i de Recerca


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