Research Paper #818
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Title: | Training Pdms on Models: the Case of Deformable Superellipses
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Authors: | Pilu,M; Fitzgibbon,AW; Fisher,RB
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Date: | Jul 1996
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Presented: | In the Proceedings of the British Machine Vision Conference, 1996
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Keywords: |
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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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