Depth Ordering and Figure-Ground Segregation in Monocular Images derived from Illusory Contour Perception

Authors:
Marcus Hund;Bärbel Mertsching
Affiliations:
University of Paderborn, Germany, email: hund@get.uni-paderborn.de;University of Paderborn, Germany, email: hund@get.uni-paderborn.de
Venue:
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Year:
2006

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Abstract

One of the elaborated tasks for the low level image processing stage of a vision system is the completion of cluttered or occluded object boundaries and the depth assignment of overlapped boundaries. We describe a novel method for depth ordering and figure-ground segregation from monocular depth cues, namely the arrangement of so-called illusory contours at junctions in the edge map of an image. Therefore, a computational approach to the perception of illusory contours, based on the tensor voting technique, is introduced. Furthermore, two simple rules for figure-ground segregation are presented that are capable of explaining a wide range of perceptual phenomena like the Kanizsa illusion. Finally, we present a diffusion approach to derive the depth ordering for the whole contour from the figure-ground segregation at key points.