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“The big sweep”: On the power of the wavefront approach to Voronoi diagrams

Abstract

We show that the wavefront approach to Voronoi diagrams (a deterministic line-sweep algorithm that does not use geometric transform) can be generalized to distance measures more general than the Euclidean metric. In fact, we provide the first worst-case optimal (O (n logn) time,O(n) space) algorithm that is valid for the full class of what has been callednice metrics in the plane. This also solves the previously open problem of providing anO (nlogn)-time plane-sweep algorithm for arbitraryL k -metrics. Nice metrics include all convex distance functions but also distance measures like the Moscow metric, and composed metrics. The algorithm is conceptually simple, but it copes with all possible deformations of the diagram.

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Additional information

Research partially supported by the Natural Sciences and Engineering Research Council of Canada.

Research partially supported by the Deutsche Forschungsgemeinschaft, Grant No. Kl 655/2-1.

Communicated by L. J. Guibas.

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Dehne, F., Klein, R. “The big sweep”: On the power of the wavefront approach to Voronoi diagrams. Algorithmica 17, 19–32 (1997). https://doi.org/10.1007/BF02523236

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Key Words

  • Computational geometry
  • Delaunay triangulation
  • Voronoi diagram
  • Sweepline