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Unsupervised clustering of objects is often needed for image and video summarization, tracking and segmentation. Shape, as fundamental representation of objects, is hard to do clustering task since usual clustering algorithms need quantitative features which are very hard to extract in shapes. In this paper, we proposed a novel approach to shape clustering. To overcome the difficulty of extracting...
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