Incremental Indexing for Parameter-Free Perceptual Grouping

Michael Zillich University of Birmingham, [email protected] Abstract: The detection of closed convex contours in edge segmented images quickly leads to a large number of hypotheses. Typically two methods are used to limit the combinatorial explosion inherent in such perceptual grouping tasks: indexing and early thresholding of less salient hypotheses. We show that the adoption of an incremental indexing scheme removes the need for thresholds, leading to improved robustness. Furthermore incremental processing quite naturally leads to anytime processing. 1)