MFCS 2021
Uncertain Curve Simplification
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
Context
- Venue
- International Symposium on Mathematical Foundations of Computer Science
- Archive span
- 1973-2025
- Indexed papers
- 3045
- Paper id
- 62940165364636863