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Discretely Following a Curve

机译:离散跟随曲线

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摘要

Finding the similarity between paths is an important problem that comes up in many areas such as 3D modeling, GIS applications, ordering, and reachability. Given a set of points S, a polygonal curve P, and an ε > 0, the discrete set-chain matching problem is to find another polygonal curve Q such that the nodes of Q are points in S and d_F(P, Q) ≤ ε. Here, d_F is the discrete Frechet distance between the two polygonal curves. For the first time we study the set-chain matching problem based on the discrete Frechet distance rather than the continuous Frechet distance. We further extend the problem based on unique or non-unique nodes and on limiting the number of points used. We prove that three of the variations of the set-chain matching problem are NP-complete. For the version of the problem that we prove is polynomial, we give the optimal substructure and the recurrence for a dynamic programming solution.
机译:找到路径之间的相似性是许多领域(例如3D建模,GIS应用程序,排序和可达性)中遇到的重要问题。给定一组点S,一条多边形曲线P和ε> 0,离散的集链匹配问题是找到另一条多边形曲线Q,使得Q的节点为S中的点,并且d_F(P,Q)≤ ε。在此,d_F是两条多边形曲线之间的离散Frechet距离。第一次,我们基于离散的Frechet距离而不是连续的Frechet距离研究集合链匹配问题。我们基于唯一或非唯一节点并限制使用的点数进一步扩展了该问题。我们证明了集合链匹配问题的三个变体是NP完全的。对于我们证明的多项式问题,我们给出了动态规划解决方案的最优子结构和递归。

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