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Article Dans Une Revue The Visual Computer Année : 2005

Connectivity Compression in Arbitrary Dimension

Résumé

This paper presents a general lossless connectivity compression scheme for manifolds in any dimension with arbitrary cells, orientable or not, with or without borders. Relying on a generic topological model called generalized maps, our method performs a region growing traversal of its primitive elements while describing connectivity relations with symbols. The set of produced symbols is compressed using standard data compression techniques. These algorithms have been successfully applied to various models (surface, tetrahedral and hexahedral meshes), showing the efficiency and genericity of the proposed scheme.

Dates et versions

hal-00332888 , version 1 (22-10-2008)

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Sylvain Prat, Patrick Gioia, Yves Bertrand, Daniel Meneveaux. Connectivity Compression in Arbitrary Dimension. The Visual Computer, 2005, 21 (8), pp.876-885. ⟨10.1007/s00371-005-0325-z⟩. ⟨hal-00332888⟩

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