Feature extraction of 3D model based on fuzzy clustering

Chenyang Cui; Donghui Wang; Xin Yuan

doi:10.1117/12.577022

8 February 2005 Feature extraction of 3D model based on fuzzy clustering

Chenyang Cui, Donghui Wang, Xin Yuan

Proceedings Volume 5637, Electronic Imaging and Multimedia Technology IV; (2005) https://doi.org/10.1117/12.577022
Event: Photonics Asia, 2004, Beijing, China

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.

Citation Download Citation

Chenyang Cui, Donghui Wang, and Xin Yuan "Feature extraction of 3D model based on fuzzy clustering", Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); https://doi.org/10.1117/12.577022

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