期刊
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
卷 36, 期 8, 页码 1687-1693出版社
IEEE COMPUTER SOC
DOI: 10.1109/TPAMI.2013.2297314
关键词
3D mesh; segmentation; spectral clustering; Cheeger cuts; minima rule
In this paper, we propose a new approach to get the optimal segmentation of a 3D mesh as a human can perceive using the minima rule and spectral clustering. This method is fully unsupervised and provides a hierarchical segmentation via recursive cuts. We introduce a new concept of the adjacency matrix based on cognitive studies. We also introduce the use of one-spectral clustering which leads to the optimal Cheeger cut value.
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