DocumentCode
2171544
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
fYear
2003
fDate
8-10 Oct. 2003
Firstpage
293
Lastpage
302
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Graphics and Applications, 2003. Proceedings. 11th Pacific Conference on
Print_ISBN
0-7695-2028-6
Type
conf
DOI
10.1109/PCCGA.2003.1238271
Filename
1238271
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