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.
Index Terms:
Geometric compression, Mesh compression, Arbitrary dimensional meshes
Citation:
Thomas Lewiner, Marcos Craizer, Hélio Lopes, Sinésio Pesco, Luiz Velho, Esdras Medeiros, "GEncode: Geometry-Driven Compression in Arbitrary Dimension and Co-Dimension," sibgrapi, pp.249-256, XVIII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'05), 2005