7 research outputs found

    Overlap of convex polytopes under rigid motion

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    We present an algorithm to compute a rigid motion that approximately maximizes the volume of the intersection of two convex polytopes P-1 and P-2 in R-3. For all epsilon is an element of (0, 1/2] and for all n >= 1/epsilon, our algorithm runs in O(epsilon(-3) n log(3.5) n) time with probability 1 - n(-O(1)). The volume of the intersection guaranteed by the output rigid motion is a (1 - epsilon)-approximation of the optimum, provided that the optimum is at least lambda . max{vertical bar P-1 vertical bar . vertical bar P-2 vertical bar} for some given constant lambda is an element of (0, 1]. (C) 2013 Elsevier B.V. All rights reserved.X1155Ysciescopu

    Approximating the Maximum Overlap of Polygons under Translation

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    Let PP and QQ be two simple polygons in the plane of total complexity nn, each of which can be decomposed into at most kk convex parts. We present an (1ε)(1-\varepsilon)-approximation algorithm, for finding the translation of QQ, which maximizes its area of overlap with PP. Our algorithm runs in O(cn)O(c n) time, where cc is a constant that depends only on kk and ε\varepsilon. This suggest that for polygons that are "close" to being convex, the problem can be solved (approximately), in near linear time

    Overlap of Convex Polytopes under Rigid Motion ∗

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    We present an algorithm to compute an approximate overlap of two convex polytopes P1 and P2 in R 3 under rigid motion. Given any ε ∈ (0, 1/2], our algorithm runs in O(ε −3 n log 3.5 n) time with probability 1 − n −O(1) and returns a (1 − ε)-approximate maximum overlap, provided that the maximum overlap is at least λ · max{|P1|, |P2|} for some given constant λ ∈ (0, 1]

    Overlap of convex polytopes under rigid motion

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    We present an algorithm to compute an approximate overlap of two convex polytopes P1 and P2 in R under rigid motion. Given any ε ∈ (0,1/2], our algorithm runs in O(ε-3 n log 3.5 n) time with probability 1 - n-O(1) and returns a (1 - ε) -approximate maximum overlap, provided that the maximum overlap is at least λ · max{\P1\, \P2\} for some given constant λ ∈ (0,1]. © H.-K. Ahn, S.-W. Cheng, H.J. Kwon, and J. Yon
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