Title :
Optimized compression of triangle mesh geometry using prediction trees
Author :
Kronrod, Boris ; Gotsman, Craig
Author_Institution :
Dept. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa, Israel
Abstract :
Almost all triangle mesh compression algorithms to date are driven by the mesh connectivity code. The geometry code usually employs a straightforward prediction method applied to the vertex sequence as dictated by the connectivity code. This generates a suboptimal geometry code, which results in significant loss in code efficiency, since the geometry dominates the mesh information content. The paper proposes a manifold mesh code which optimizes the geometric component, at the slight expense of the connectivity code. This mesh geometry code is shown to be up to 50% more compact than the state-of-the-art geometry code of Touma and Gotsman (1998), especially for models with non-smooth geometry, such as CAD models.
Keywords :
computational geometry; computer graphics; trees (mathematics); CAD models; code efficiency; geometry code; manifold mesh code; mesh connectivity code; optimized compression; prediction trees; suboptimal geometry code; triangle mesh geometry; vertex sequence; Compression algorithms; Computational geometry; Computer science; Decoding; Distortion measurement; Entropy coding; Information geometry; Mesh generation; Prediction methods; Solid modeling;
Conference_Titel :
3D Data Processing Visualization and Transmission, 2002. Proceedings. First International Symposium on
Print_ISBN :
0-7695-1521-4
DOI :
10.1109/TDPVT.2002.1024124