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• W2044888969 abstract "To segment a shape into parts is an important problem in shape representation and analysis. We propose in this paper a novel framework of shape segmentation using deformation models learned from multiple shapes. The deformation model from the target image to every other image is then estimated. Finally, normalized-cut graph partition is applied to the graph constructed based on the similarity of local patches in the target image, and a segmentation of the shape is carried out. Experimental results for images from MPEG7 shape database show the effectiveness of the proposed method." @default.
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• W2044888969 date "2009-01-01" @default.
• W2044888969 modified "2023-09-26" @default.
• W2044888969 title "Segmenting Shape Using Deformation Information" @default.
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• W2044888969 doi "https://doi.org/10.1587/transinf.e92.d.1296" @default.
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