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Division of Informatics
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Research Paper #818

Title:Training Pdms on Models: the Case of Deformable Superellipses
Authors:Pilu,M; Fitzgibbon,AW; Fisher,RB
Date:Jul 1996
Presented:In the Proceedings of the British Machine Vision Conference, 1996
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.

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