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Division of Informatics
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Research Paper #817

Title:Part Segmentation from 2D Edge Images by the Mdl Criterion
Authors:Pilu,M; Fisher,RB
Date:Jul 1996
Presented:To appear in the Proceedings of the British Machine Vision Conference, 1996
Keywords:
Abstract:In the context of part segmentation from 2D edge images, this paper presents some interesting results with a novel method that addresses the problem of filtering a redundant set of part hypotheses that retains only those that are likely to correspond to actual parts. In the proposed method, supporting evidence for hypotheses are put in competition in a Minimum Description-Length (MDL) framework to select part hypotheses that most economically represent supporting edges in the "language" of generic parts.
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