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Perceptual Organization and Curve Partitioning

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2 Author(s)
Martin A. Fischler ; SRI International, 333 Ravenswood Avenue. Menlo Park, CA 94025. ; Robert C. Bolles

In this paper we offer a critical evaluation of the partitioning (perceptual organization) problem, noting the extent to which it has distinct formulations and parameterizations. We show that most partitioning techniques can be characterized as variations of four distinct paradigms, and argue that any effective technique must satisfy two general principles. We give concrete substance to our general discussion by introducing new partitioning techniques for planar geometric curves, and present experimental results demonstrating their effectiveness.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:PAMI-8 ,  Issue: 1 )