On the Budgeted Hausdorff Distance Problem
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Abstract (arXiv)
newcommandReℝ newcommandrealsℝ newcommandSetXmathsfX newcommandoptX[1]#1^star newcommandQoptMhoptXQ newcommandradr newcommandMh[1]#1 newcommandqueryq newcommandepsvarepsilon newcommandVorX[1]V pth#1 newcommandPolygonmathsfP newcommandIntRange[1][ #1 ] newcommandSpaceoverlinemathsfm newcommandpth[2][!]#1left(#2right) newcommandpolylogpolylog newcommandNmathbb N newcommandZmathbb Z newcommandptp newcommanddistY[2]left| #1 - #2 right| newcommandptqq newcommandRunningTimeObigl(n3/2 √k log3/2 n + kn log2 nbigr) newcommandptss Given a set P of n points in the plane, and a parameter k, we present an algorithm, whose running time is RunningTime, with high probability, that computes a subset Qopt subseteq P of k points, that minimizes the Hausdorff distance between the convex-hulls of Qopt and P. This is the first subquadratic algorithm for this problem if k is small.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 3 Jun 2023.
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- 2025ProHD: Projection-Based Hausdorff Distance Approximationcited by 0
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