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- W2076023933 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." @default.
- W2076023933 created "2016-06-24" @default.
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- W2076023933 date "2005-02-08" @default.
- W2076023933 modified "2023-09-24" @default.
- W2076023933 title "Feature extraction of 3D model based on fuzzy clustering" @default.
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- W2076023933 doi "https://doi.org/10.1117/12.577022" @default.
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