Approximate one-to-one point pattern matching

  • Authors:
  • Marc Benkert;Joachim Gudmundsson;Damian Merrick;Thomas Wolle

  • Affiliations:
  • XP Software, Australia;University of Sydney and NICTA, Australia;XP Software, Australia;Arclight Investments Pty. Ltd., Sydney, Australia

  • Venue:
  • Journal of Discrete Algorithms
  • Year:
  • 2012

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Abstract

Given a set A={a"1,...,a"n} of n image points and a set B={b"1,...,b"n} of n model points, the problem is to find a transformation matching (a one-to-one mapping) each point a@?A to some point b@?B such that the length of the longest edge in the matching is minimised (so-called bottleneck distance). The geometric transformations we allow are translation, rotation, reflexion and scaling. In this paper, we give (1+@e)-approximation algorithms for the case when the points are given in R^2, two of which run in O(n^3^.^5@e^4logn) and O(n^2^.^5@e^4lognlogdiam(B)d"o"p"t) time, respectively, where diam(B) is the diameter of B and d"o"p"t is the bottleneck distance in an optimal matching.