English

Probing Convex Polygons with a Wedge

Computational Geometry 2016-07-06 v3

Abstract

Minimizing the number of probes is one of the main challenges in reconstructing geometric objects with probing devices. In this paper, we investigate the problem of using an ω\omega-wedge probing tool to determine the exact shape and orientation of a convex polygon. An ω\omega-wedge consists of two rays emanating from a point called the apex of the wedge and the two rays forming an angle ω\omega. To probe with an ω\omega-wedge, we set the direction that the apex of the probe has to follow, the line L\overrightarrow L, and the initial orientation of the two rays. A valid ω\omega-probe of a convex polygon OO contains OO within the ω\omega-wedge and its outcome consists of the coordinates of the apex, the orientation of both rays and the coordinates of the closest (to the apex) points of contact between OO and each of the rays. We present algorithms minimizing the number of probes and prove their optimality. In particular, we show how to reconstruct a convex nn-gon (with all internal angles of size larger than ω\omega) using 2n22n-2 ω\omega-probes; if ω=π/2\omega = \pi/2, the reconstruction uses 2n32n-3 ω\omega-probes. We show that both results are optimal. Let NBN_B be the number of vertices of OO whose internal angle is at most ω\omega, (we show that 0NB30 \leq N_B \leq 3). We determine the shape and orientation of a general convex nn-gon with NB=1N_B=1 (respectively NB=2N_B=2, NB=3N_B=3) using 2n12n-1 (respectively 2n+32n+3, 2n+52n+5) ω\omega-probes. We prove optimality for the first case. Assuming the algorithm knows the value of NBN_B in advance, the reconstruction of OO with NB=2N_B=2 or NB=3N_B=3 can be achieved with 2n+22n+2 probes,- which is optimal.

Keywords

Cite

@article{arxiv.1506.02572,
  title  = {Probing Convex Polygons with a Wedge},
  author = {Prosenjit Bose and Jean-Lou De Carufel and Alina Shaikhet and Michiel Smid},
  journal= {arXiv preprint arXiv:1506.02572},
  year   = {2016}
}

Comments

31 pages, 27 figures

R2 v1 2026-06-22T09:49:24.696Z