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ABSTRACT
We show that the dynamic Voronoi diagram of k sets of points in the plane, where each set consists of m points moving rigidly, has complexity O(n2k2&lgr;s(k)) for some fixed s, where &lgr;s(n) is the maximum length of a (n, s) Davenport-Schinzel sequence. This improves the result of Aonuma et al., who show an upper bound of O(n3k4 log* k) for the complexity of such Voronoi diagrams. We then apply this result to the problem of finding the minimum Hausdorff distance between two point sets in the plane under Euclidean motion. We show that this distance can be computed in time O((m + n)6 log (mn)), where the two sets contain m and n points respectively.
REFERENCES
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CITED BY 15
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Piotr Indyk , Rajeev Motwani , Suresh Venkatasubramanian, Geometric matching under noise: combinatorial bounds and algorithms, Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms, p.457-465, January 17-19, 1999, Baltimore, Maryland, United States
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Pankaj K. Agarwal , Sariel Har-Peled , Micha Sharir , Yusu Wang, Hausdorff distance under translation for points and balls, Proceedings of the nineteenth annual symposium on Computational geometry, June 08-10, 2003, San Diego, California, USA
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Martin Gavrilov , Piotr Indyk , Rajeev Motwani , Suresh Venkatasubramanian, Geometric pattern matching: a performance study, Proceedings of the fifteenth annual symposium on Computational geometry, p.79-85, June 13-16, 1999, Miami Beach, Florida, United States
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Michael T. Goodrich , Joseph S. B. Mitchell , Mark W. Orletsky, Practical methods for approximate geometric pattern matching under rigid motions: (preliminary version), Proceedings of the tenth annual symposium on Computational geometry, p.103-112, June 06-08, 1994, Stony Brook, New York, United States
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Christian Icking , Rolf Klein , Peter Köllner , Lihong Ma, Java applets for the dynamic visualization of Voronoi diagrams, Computer science in perspective, Springer-Verlag New York, Inc., New York, NY, 2003
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Arnon Amir , Alon Efrat , Jussi Myllymaki , Lingeshwaran Palaniappan , Kevin Wampler, Buddy tracking - efficient proximity detection among mobile friends, Pervasive and Mobile Computing, v.3 n.5, p.489-511, October, 2007
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