GEncode: geometry-driven compression in arbitrary dimension and co-dimension

GEncode: geometry-driven compression in arbitrary dimension and co-dimension
Thomas Lewiner, Marcos Craizer, Hélio Lopes, Sinésio Pesco, Luiz Velho, Esdras Medeiros

Abstract:

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.

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BibTeX:

@inproceedings{gencode_sibgrapi,
    author = {Thomas Lewiner and Marcos Craizer and Hélio Lopes and Sinésio Pesco and Luiz Velho and Esdras Medeiros},
    title = {GEncode: geometry-driven compression in arbitrary dimension and co-dimension},
    year = {2005},
    month = {october},
    booktitle = {Sibgrapi 2005 (XVIII Brazilian Symposium on Computer Graphics and Image Processing)},
    pages = {249--256},
    publisher = {IEEE},
    address = {Natal, RN},
    doi = {10.1109/SIBGRAPI.2005.27},
    url = {\url{http://thomas.lewiner.org/pdfs/gencode_sibgrapi.pdf}}
}