Polyhedral Voronoi diagrams of polyhedra in three dimensions

  • Authors:
  • Vladlen Koltun;Micha Sharir

  • Affiliations:
  • Tel Aviv University, Tel Aviv, Israel;Tel Aviv University, Tel Aviv, Israel and New York University, New York, NY

  • Venue:
  • Proceedings of the eighteenth annual symposium on Computational geometry
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

We show that that the complexity of the Voronoi diagram of a collection of disjoint polyhedra in 3-space that have n vertices overall, under a convex distance function induced by a polyhedron with O(1) facets, is O(n 2+&egr;), for any &egr;0. We also show that when the sites are n segments in 3-space, this complexity is O(n 2 &agr;(n) log n). This generalizes previous results by Chew et al. [9] and by Aronov and Sharir [4], and solves an open problem put forward by Agarwal and Sharir [2]. Specific distance functions for which our results hold are the L 1 and the L ∞ metrics. These results imply that we can preprocess a collection of polyhedra as above into a near-quadratic data structure that can answer δ-approximate Euclidean nearest-neighbor queries amidst the polyhedra in time O(log (n/δ)), for an arbitrarily small δ0.