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The Case of Deformable Superellipses
出版University of Edinburgh, Department of Artificial Intelligence, 1996
URLhttp://books.google.com.hk/books?id=vRLeGwAACAAJ&hl=&source=gbs_api
註釋Abstract: "This paper addresses the following problem: How can we make a complicated mathematical shape model simpler while keeping a comparable level of representational power? The proposed solution is to use the original model itself -- which represents a class of shapes -- to train a Point Distribution Model. In this paper the idea is applied to the case of deformable superellipses."