Complexity analysis for digital hyperplane recognition in arbitrary fixed dimension

  • Authors:
  • Valentin E. Brimkov;Stefan S. Dantchev

  • Affiliations:
  • Fairmont State University, Fairmont, West Virginia;Science Labs, University of Durham, Durham, England

  • Venue:
  • DGCI'05 Proceedings of the 12th international conference on Discrete Geometry for Computer Imagery
  • Year:
  • 2005

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Abstract

We consider the following problem. Given a set of points M={p1,p2...pm}⊆ℝn, decide whether M is a portion of a digital hyperplane and, if so, determine its analytical representation. In our setting p1,p2...pm may be arbitrary points (possibly, with rational and/or irrational coefficients) and the dimension n may be any arbitrary fixed integer. We provide an algorithm that solves this digital hyperplane recognition problem by reducing it to an integer linear programming problem of fixed dimension within an algebraic model of computation. The algorithm performs O(mlogD) arithmetic operations, where D is a bound on the norm of the domain elements.