TRANSACIlONS ON PATTERN ANALYSIS
نویسنده
چکیده
In this correspondence, we analyzed the automata algorithm for relaxation labeling [ 11 for the case of symmetric compatibility functions. It is proved that starting with any initial label probabilities, the algorithm always converges to a consistent labeling. Further, all consistent unambiguous labelings are locally asymptotically stable. The algorithm analyzed in this correspondence has been employed successfully in computer vision problems such as stereopsis and object recognition [ 5 ] .
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تاریخ انتشار 2004