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MFCS 2021

Uncertain Curve Simplification

Conference Paper Accepted Paper Algorithms and Complexity · Theoretical Computer Science

Abstract

We study the problem of polygonal curve simplification under uncertainty, where instead of a sequence of exact points, each uncertain point is represented by a region which contains the (unknown) true location of the vertex. The regions we consider are disks, line segments, convex polygons, and discrete sets of points. We are interested in finding the shortest subsequence of uncertain points such that no matter what the true location of each uncertain point is, the resulting polygonal curve is a valid simplification of the original polygonal curve under the Hausdorff or the Fréchet distance. For both these distance measures, we present polynomial-time algorithms for this problem.

Authors

Keywords

  • Curves
  • Uncertainty
  • Simplification
  • Fr\&#039
  • {e

Context

Venue
International Symposium on Mathematical Foundations of Computer Science
Archive span
1973-2025
Indexed papers
3045
Paper id
62940165364636863