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- W2076633596 abstract "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." @default.
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- W2076633596 date "2014-08-01" @default.
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- W2076633596 title "Segmentation of 3D Meshes Usingp-Spectral Clustering" @default.
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- W2076633596 doi "https://doi.org/10.1109/tpami.2013.2297314" @default.
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