Tsallis entropy for geometry simplification
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Otros documentos de la autoría: Castelló Boscá, Pascual; González, Carlos; Sbert Casasayas, Mateu; Feixas, Miguel; Chover, Miguel
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Título
Tsallis entropy for geometry simplificationAutoría
Fecha de publicación
2011-09-29Editor
MDPI PublishingISSN
1099-4300Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.mdpi.com/1099-4300/13/10/1805Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
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–Charva ́t–Tsallis ... [+]
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–Charva ́t–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). [-]
Publicado en
Entropy (2011) vol. 13, no. 10, pp. 1805-1828Derechos de acceso
info:eu-repo/semantics/openAccess
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