Translating a Planar Object to Maximize Point Containment

  • Authors:
  • Pankaj K. Agarwal;Torben Hagerup;Rahul Ray;Micha Sharir;Michiel H. M. Smid;Emo Welzl

  • Affiliations:
  • -;-;-;-;-;-

  • Venue:
  • ESA '02 Proceedings of the 10th Annual European Symposium on Algorithms
  • Year:
  • 2002

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Abstract

Let C be a compact set in R2 and let S be a set of n points in R2. We consider the problem of computing a translate of C that contains the maximum number, 驴*, of points of S. It is known that this problem can be solved in a time that is roughly quadratic in n. We show how random-sampling and bucketing techniques can be used to develop a near-linear-time Monte Carlo algorithm that computes a placement of C containing at least (1 - 驴)驴* points of S, for given 驴 0, with high probability. We also present a deterministic algorithm that solves the 驴-approximate version of the optimal-placement problem and runs in O((n1+驴 + n/驴) log m) time, for arbitrary constant 驴 0, if C is a convex m-gon.