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Tracking With Sobolev Active Contours
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06)
Recently proposed Sobolev active contours introduced a new paradigm for minimizing energies defined on curves by changing the traditional cost of perturbing a curve and thereby redefining their gradients. Sobolev active contours evolve more globally and are less attracted to certain intermediate local minima than traditional active contours. In this paper we analyze Sobolev active contours in the Fourier domain in order to understand their evolution across different scales. This analysis shows
doi:10.1109/cvpr.2006.314
dblp:conf/cvpr/SundaramoorthiJYM06
fatcat:2wygwoeeefhcdbozqxbhuxacyq