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Proceedings Paper

Feature extraction of 3D model based on fuzzy clustering
Author(s): Chenyang Cui; Donghui Wang; Xin Yuan
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Paper Abstract

In 3D model retrieval, feature extraction of 3D model is a very important topic. In this paper, the goal of the proposed approach is to decompose 3D model to meaningful components by iterative scheme and hierarchical fuzzy clustering, then construct a node graph to represent 3D model. The similarity calculation between two 3D models is processed using a coarse-to-fine strategy. Experiment results show that out method is suitable for part matching, articulated matching and global matching of the models.

Paper Details

Date Published: 8 February 2005
PDF: 8 pages
Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); doi: 10.1117/12.577022
Show Author Affiliations
Chenyang Cui, Zhejiang Univ. (China)
Donghui Wang, Zhejiang Univ. (China)
Xin Yuan, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 5637:
Electronic Imaging and Multimedia Technology IV
Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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