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@InProceedings{LewinerCrLoPeVeMe:2005:GeCoAr,
               author = "Lewiner, Thomas and Craizer, Marcos and Lopes, H{\'e}lio and 
                         Pesco, Sin{\'e}sio and Velho, Luiz and Medeiros, Esdras",
          affiliation = "{PUC–Rio — Departamento de Matem{\'a}tica — Matm{\'{\i}}dia 
                         Project — Rio de Janeiro — Brazil} and {INRIA — 
                         G{\'e}om{\'e}trica Project — Sophia Antipolis — France} and 
                         {IMPA— Visgraf Project — Rio de Janeiro — Brazil}",
                title = "GEncode: Geometry-driven compression in arbitrary dimension and 
                         co-dimension",
            booktitle = "Proceedings...",
                 year = "2005",
               editor = "Rodrigues, Maria Andr{\'e}ia Formico and Frery, Alejandro 
                         C{\'e}sar",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 18. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Geometric compression, Mesh compression, Arbitrary dimensional 
                         meshes.",
             abstract = "Among the mesh compression algorithms, different schemes compress 
                         better specific categories of model. In particular, geometrydriven 
                         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 
                         remeshing. GEncode is a new singlerate compression scheme that 
                         compresses the connectivity of these meshes at almost zerocost. It 
                         improves existing geometrydriven 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 nonmanifold meshes. Compression 
                         results for surfaces are competitive with existing schemes.",
  conference-location = "Natal",
      conference-year = "9-12 Oct. 2005",
             language = "en",
           targetfile = "GEncode_Sibgrapi_final.pdf",
        urlaccessdate = "2020, Dec. 05"
}


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