Title : 
Point set compression through BSP quantization
         
        
            Author : 
Bordignon, Alex ; Lewiner, Thomas ; Lopes, Hélio ; Tavares, Geovan ; Castro, Rener
         
        
            Author_Institution : 
Departamento de Matematica, PUC-Rio, Rio de Janeiro
         
        
        
        
        
        
            Abstract : 
This work introduces a new compression scheme for point sets. This scheme relies on an adaptive binary space partition (BSP) which takes into account the geometric structure of the point set. This choice introduces geometrical rather than combinatorial information in the compression scheme. In order to effectively improve the final compression ratio, this partition is encoded in a progressive manner, decreasing the number of bits used for the quantisation at each subdivision. This strategy distributes the extra cost of the geometry encoding onto the maximal number of points, compressing in average 15% more than previous techniques
         
        
            Keywords : 
computational geometry; data compression; image coding; adaptive binary space partition; geometry processing; geometry-driven compression; point set compression; Collaborative work; Costs; Data mining; Encoding; Geometry; Image coding; Image reconstruction; Quantization; Solid modeling; Tree graphs; Binary Space Partition; Compression; Geometry Processing.; Geometry-Driven Compression; Point Sets;
         
        
        
        
            Conference_Titel : 
Computer Graphics and Image Processing, 2006. SIBGRAPI '06. 19th Brazilian Symposium on
         
        
            Conference_Location : 
Manaus
         
        
        
            Print_ISBN : 
0-7695-2686-1
         
        
        
            DOI : 
10.1109/SIBGRAPI.2006.36