English

Polygon Simplification by Minimizing Convex Corners

Computational Geometry 2018-12-17 v1

Abstract

Let PP be a polygon with r>0r>0 reflex vertices and possibly with holes and islands. A subsuming polygon of PP is a polygon PP' such that PPP \subseteq P', each connected component RR of PP is a subset of a distinct connected component RR' of PP', and the reflex corners of RR coincide with those of RR'. A subsuming chain of PP' is a minimal path on the boundary of PP' whose two end edges coincide with two edges of PP. Aichholzer et al. proved that every polygon PP has a subsuming polygon with O(r)O(r) vertices, and posed an open problem to determine the computational complexity of computing subsuming polygons with the minimum number of convex vertices. We prove that the problem of computing an optimal subsuming polygon is NP-complete, but the complexity remains open for simple polygons (i.e., polygons without holes). Our NP-hardness result holds even when the subsuming chains are restricted to have constant length and lie on the arrangement of lines determined by the edges of the input polygon. We show that this restriction makes the problem polynomial-time solvable for simple polygons.

Keywords

Cite

@article{arxiv.1812.05656,
  title  = {Polygon Simplification by Minimizing Convex Corners},
  author = {Yeganeh Bahoo and Stephane Durocher and J. Mark Keil and Debajyoti Mondal and Saeed Mehrabi and Sahar Mehrpour},
  journal= {arXiv preprint arXiv:1812.05656},
  year   = {2018}
}

Comments

15 pages, 9 figures

R2 v1 2026-06-23T06:41:58.633Z