Measuring Errors for Massive Triangle Meshes

Abstract : Our proposal is a method for computing the distance between two surfaces modeled by massive triangle meshes which can not be both loaded entirely in memory. The method consists in loading at each step a small part of the two meshes and computing the symmetrical distance for these areas. These areas are chosen in such a way as the orthogonal projection, used to compute this distance, have to be in it. For this, one of the two meshes is simplified and then a correspondence between the simplified mesh and the triangles of the input meshes is done. The experiments show that the proposed method is very efficient in terms of memory cost, while producing results comparable to the existent tools for the small and medium size meshes. Moreover, the proposed method enables us to compute the distance for massive meshes.
Keywords : errors surface meshes
Type de document :
Communication dans un congrès
IEEE. IEEE international workshop on MultiMedia Signal Processing (MMSP), Sep 2010, France. pp.5, 2010
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https://hal.archives-ouvertes.fr/hal-00528790
Contributeur : Frédéric Payan <>
Soumis le : vendredi 22 octobre 2010 - 15:11:42
Dernière modification le : vendredi 22 octobre 2010 - 15:11:42

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  • HAL Id : hal-00528790, version 1

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Anis Meftah, Arnaud Roquel, Frédéric Payan, Marc Antonini. Measuring Errors for Massive Triangle Meshes. IEEE. IEEE international workshop on MultiMedia Signal Processing (MMSP), Sep 2010, France. pp.5, 2010. 〈hal-00528790〉

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