Submission to Image and Vision Computing Part Segmentation from 2d Edge Images by the Mdl Criterion

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 ltering 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. This paper is an expanded version of the short-listed paper with the same title/authors that will appear at BMVC96.