Evaluating approximations generated by the GNG3D method for mesh simplification
| Contribuinte(s) |
Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial Criptología y Seguridad Computacional |
|---|---|
| Data(s) |
23/11/2012
23/11/2012
2008
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| Resumo |
In this paper we present different error measurements with the aim to evaluate the quality of the approximations generated by the GNG3D method for mesh simplification. The first phase of this method consists on the execution of the GNG3D algorithm, described in the paper. The primary goal of this phase is to obtain a simplified set of vertices representing the best approximation of the original 3D object. In the reconstruction phase we use the information provided by the optimization algorithm to reconstruct the faces thus obtaining the optimized mesh. The implementation of three error functions, named Eavg, Emax, Esur, permitts us to control the error of the simplified model, as it is shown in the examples studied. The research was supported by the University of Alicante, (GV06/018). |
| Identificador |
NAVARRO, Pedro, et al. "Evaluating approximations generated by the GNG3D method for mesh simplification". En: Proceedings of the 7th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED '08) : Cambridge, UK, February 23-25, 2008. [S.l.] : WSEAS, 2008. ISBN 978-960-6766-41-1, pp. 25-30 978-960-6766-41-1 |
| Idioma(s) |
eng |
| Publicador |
WSEAS |
| Direitos |
Copyright © 2008 WSEAS info:eu-repo/semantics/openAccess |
| Palavras-Chave | #Surface simplification #Mesh reconstruction #Error approximations #Neural networks #Growing neural gas #Growing cell structures #Ciencia de la Computación e Inteligencia Artificial |
| Tipo |
info:eu-repo/semantics/conferenceObject |
