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