Tsallis Entropy for Geometry Simplification
dc.contributor.author
dc.date.accessioned
2013-11-11T13:10:08Z
dc.date.available
2013-11-11T13:10:08Z
dc.date.issued
2011
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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)
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
dc.language.iso
eng
dc.publisher
MDPI (Multidisciplinary Digital Publishing Institute)
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/10.3390/e13101805
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Entropy, 2011, vol. 13, p. 1805-1828
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Articles publicats (D-IMA)
dc.rights
Attribution 3.0 Spain
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dc.subject
dc.title
Tsallis Entropy for Geometry Simplification
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.embargo.terms
Cap
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
017323
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dc.relation.ProjectAcronym
dc.identifier.eissn
1099-4300