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

  • Authors:
  • Thomas Lewiner;Marcos Craizer;Helio Lopes;Sinesio Pesco;Luiz Velho;Esdras Medeiros

  • Affiliations:
  • PUC-Rio and INRIA;PUC-Rio;PUC-Rio;PUC-Rio;IMPA;IMPA

  • Venue:
  • SIBGRAPI '05 Proceedings of the XVIII Brazilian Symposium on Computer Graphics and Image Processing
  • Year:
  • 2005

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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.