Title : 
Shape similarity comparison of 3D models using alpha shapes
         
        
            Author : 
Ohbuchi, Ryutarou ; Takei, Tsuyoshi
         
        
            Author_Institution : 
Interdisciplinary Graduate Sch. of Medicine & Eng., Univ. of Yamanashi, Japan
         
        
        
        
        
        
            Abstract : 
As the number of in-house and public-domain 3D shape models increase, importance of shape-similarity based search and retrieval for 3D shapes models has increased rapidly. In this paper, we describe our preliminary findings in applying a multiresolution analysis technique to the task of shape similarity comparison of polygon soup models. We used the 3D alpha shapes algorithm to create a multiresolution hierarchy of shapes from the given 3D models. We then applied a (single resolution) shape descriptor to each of the models at multiple resolution levels to derive a multiresolution shape descriptor. According to our evaluation experiments, the retrieval performance of our resolution descriptor outperformed its single resolution counterpart, proving the effectiveness of the basic approach.
         
        
            Keywords : 
computational geometry; content-based retrieval; image matching; image representation; solid modelling; 3D alpha shapes; 3D shape models; content-based retrieval; content-based searching; geometric modeling; multiresolution analysis; multiresolution shape descriptor; multiresolution shape hierarchy; polygon soup model; shape similarity comparison; Content based retrieval; Frequency domain analysis; Image color analysis; Image resolution; Image texture analysis; Multiresolution analysis; Search engines; Shape; Solid modeling; Surface morphology;
         
        
        
        
            Conference_Titel : 
Computer Graphics and Applications, 2003. Proceedings. 11th Pacific Conference on
         
        
            Print_ISBN : 
0-7695-2028-6
         
        
        
            DOI : 
10.1109/PCCGA.2003.1238271