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Voronoi diagram of polygonal chains under the discrete Fréchet distance

机译:离散Fréchet距离下多边形链的Voronoi图

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Polygonal chains are fundamental objects in many applications like pattern recognition and protein structure alignment. A well-known measure to characterize the similarity of two polygonal chains is the (continuous/discrete) Fréchet distance. In this paper, for the first time, we consider the Voronoi diagram of polygonal chains in d-dimension under the discrete Fréchet distance. Given a set $mathcal{C}$ of n polygonal chains in d-dimension, each with at most k vertices, we prove fundamental properties of such a Voronoi diagram $VD-F (mathcal{C})$. Our main results are summarized as follows. ? The combinatorial complexity of $VD-F (mathcal{C})$ is at most O(n~(dk+)). ? The combinatorial complexity of $VD-F (mathcal{C})$ is at least Ω(n~(dk)) for dimension d = 1, 2; and Ω(n ~(d(k-1)+2)) for dimension d > 2.
机译:多边形链是许多应用(例如模式识别和蛋白质结构比对)的基本对象。表征两个多边形链相似度的一种众所周知的度量是(连续/离散)弗雷谢特距离。在本文中,我们首次考虑了在离散Fréchet距离下d维多边形链的Voronoi图。给定一组d维的n个多边形链的 mathcal {C} $,每个多边形链最多具有k个顶点,我们证明了这样的Voronoi图$ VD-F( mathcal {C})$的基本属性。我们的主要结果总结如下。 ? $ VD-F( mathcal {C})$的组合复杂度最多为O(n〜(dk +))。 ?对于维数d = 1,2,$ VD-F( mathcal {C})$的组合复杂度至少为Ω(n〜(dk));对于尺寸d> 2和Ω(n〜(d(k-1)+2))。

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