%0 Conference Proceedings
%T GEncode: Geometry-driven compression in arbitrary dimension and co-dimension
%D 2005
%A Lewiner, Thomas,
%A Craizer, Marcos,
%A Lopes, Hélio,
%A Pesco, Sinésio,
%A Velho, Luiz,
%A Medeiros, Esdras,
%@affiliation PUC–Rio — Departamento de Matemática — Matmídia Project — Rio de Janeiro — Brazil
%@affiliation INRIA — Géométrica Project — Sophia Antipolis — France
%@affiliation IMPA— Visgraf Project — Rio de Janeiro — Brazil
%E Rodrigues, Maria Andréia Formico,
%E Frery, Alejandro César,
%B Brazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
%C Natal
%8 9-12 Oct. 2005
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K Geometric compression, Mesh compression, Arbitrary dimensional meshes.
%X 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.
%@language en
%3 GEncode_Sibgrapi_final.pdf