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GEncode: Geometry-Driven Compression in Arbitrary Dimension and Co-Dimension

Thomas LewinerMarcos CraizerHélio LopesSinésio PescoLuiz VelhoEsdras Soares de Medeiros Filho

Among the mesh compression algorithms, different schemes compress better specific categories of model. In particular, geometry-driven approaches have shown outstanding performances on isosurfaces. It would be expected these algorithm to also encode well meshes reconstructed from the geometry, or optimized by a geometric re-meshing. GEncode is a new single-rate compression scheme that compresses the connectivity of these meshes at almost zero-cost. It improves existing geometry-driven schemes for general meshes on both geometry and connectivity compression. This scheme extends naturally to meshes of arbitrary dimensions in arbitrary ambient space, and deals gracefully with non-manifold meshes. Compression results for surfaces are competitive with existing schemes.

http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2005.27

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