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VigneronAntoine

Vigneron, Antoine
Geometric Algorithms Lab.
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dc.citation.endPage 15 -
dc.citation.number 1 -
dc.citation.startPage 3 -
dc.citation.title COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS -
dc.citation.volume 37 -
dc.contributor.author Ahn, Hee-Kap -
dc.contributor.author Cheong, Otfried -
dc.contributor.author Park, Chong-Dae -
dc.contributor.author Shin, Chan-Su -
dc.contributor.author Vigneron, Antoine -
dc.date.accessioned 2023-12-22T09:14:53Z -
dc.date.available 2023-12-22T09:14:53Z -
dc.date.created 2016-06-18 -
dc.date.issued 2007-05 -
dc.description.abstract Given two compact convex sets P and Q in the plane, we compute an image of P under a rigid motion that approximately maximizes the overlap with Q. More precisely, for any epsilon > 0, we compute a rigid motion such that the area of overlap is at least 1-epsilon times the maximum possible overlap. Our algorithm uses O(1/epsilon) extreme point and line intersection queries on P and Q, plus O((1/epsilon(2)) log(1/epsilon)) running time. If only translations are allowed, the extra running time reduces to O((1/epsilon) log(1/epsilon)). If P and Q are convex polygons with n vertices in total that are given in an array or balanced tree, the total running time is O((1/epsilon) log n + (1/epsilon(2)) log(1/epsilon)) for rigid motions and O((1/epsilon) log n + (1/epsilon) log(1/epsilon)) for translations. (c) 2006 Elsevier B.V. All rights reserved -
dc.identifier.bibliographicCitation COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS, v.37, no.1, pp.3 - 15 -
dc.identifier.doi 10.1016/j.comgeo.2006.01.005 -
dc.identifier.issn 0925-7721 -
dc.identifier.scopusid 2-s2.0-33847121346 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/19951 -
dc.identifier.url http://www.sciencedirect.com/science/article/pii/S0925772106000678 -
dc.identifier.wosid 000245339400002 -
dc.language 영어 -
dc.publisher ELSEVIER SCIENCE BV -
dc.title Maximizing the overlap of two planar convex sets under rigid motions -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor approximation algorithm -
dc.subject.keywordAuthor sublinear algorithm -
dc.subject.keywordAuthor convex shape -
dc.subject.keywordAuthor geometric pattern matching -
dc.subject.keywordPlus POLYGONS -
dc.subject.keywordPlus APPROXIMATION -
dc.subject.keywordPlus AREA -

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