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T. N. Mundhenk, L. Itti, A Model of Contour Integration in Early Visual Cortex, In: Lecture Notes in Computer Science, Vol. 2525, pp. 80-89, Nov 2002. (Cited by 7)
Abstract: We have created an algorithm to integrate contour elements and find the salience value of them. The algorithm consists of basic long-range orientation specific neural connections as well as a group suppression gain control and a fast plasticity term to explain interaction beyond a neurons normal size range. Integration is executed as a series of convolutions on 12 orientation filtered images augmented by the nonlinear fast plasticity and group suppression terms. Testing done on a large number of artificially generated Gabor element contour images shows that the algorithm is effective at finding contour elements within parameters similar to that of human subjects. Testing of real world images yields reasonable results and shows that the algorithm has strong potential for use as an addition to our already existent vision saliency algorithm.
Themes: Computational Modeling, Model of Bottom-Up Saliency-Based Visual Attention, Computer Vision
Copyright © 2000-2007 by the University of Southern California, iLab and Prof. Laurent Itti.
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