Tsallis entropy for geometry simplification
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Altres documents de l'autoria: Castelló Boscá, Pascual; González, Carlos; Sbert Casasayas, Mateu; Feixas, Miguel; Chover, Miguel
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Tsallis entropy for geometry simplificationAutoria
Data de publicació
2011-09-29Editor
MDPI PublishingISSN
1099-4300Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
http://www.mdpi.com/1099-4300/13/10/1805Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
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). [-]
Publicat a
Entropy (2011) vol. 13, no. 10, pp. 1805-1828Drets d'accés
info:eu-repo/semantics/openAccess
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