MASSIVE MARCHING: A PARALLEL COMPUTATION OF DISTANCE FUNCTION

Abstract : The methods based on the evolution of a curve controlled by partial differential equations (PDE), represent an efficient and flexible tool of image segmentation, recognition or object tracking. For these methods, an accurate and rapid computation of the distance function is of a key importance. We propose a new, entirely parallel algorithm yielding the distance function and its hardware implementation.
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Communication dans un congrès
P. Liatsis. the 9th International Workshop on Systems, Signals and Image Processing (IWSSIP'02), Nov 2002, Manchester, United Kingdom. World scientific, Proceedings of the 9th International Workshop on Systems, Signals and Image Processing, pp.71-76, 2002, Recent Trends in Multimedia Information Processing 〈10.1142/9789812776266_0009〉
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Dernière modification le : vendredi 27 octobre 2017 - 17:36:02
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Eva Dejnozkova Dokládova, Petr Dokládal, Jean-Claude Klein. MASSIVE MARCHING: A PARALLEL COMPUTATION OF DISTANCE FUNCTION. P. Liatsis. the 9th International Workshop on Systems, Signals and Image Processing (IWSSIP'02), Nov 2002, Manchester, United Kingdom. World scientific, Proceedings of the 9th International Workshop on Systems, Signals and Image Processing, pp.71-76, 2002, Recent Trends in Multimedia Information Processing 〈10.1142/9789812776266_0009〉. 〈hal-01510914〉

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