Approximate range searching using binary space partitions

  • Authors:
  • Mark de Berg;Micha Streppel

  • Affiliations:
  • Department of Computer Science, TU Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands;Department of Computer Science, TU Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands

  • Venue:
  • Computational Geometry: Theory and Applications
  • Year:
  • 2006

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Abstract

We show how any BSP tree T"P for the endpoints of a set of n disjoint segments in the plane can be used to obtain a BSP tree of size O(n@?depth(T"P)) for the segments themselves, such that the range-searching efficiency remains almost the same. We apply this technique to obtain a BSP tree of size O(nlogn) such that @?-approximate range searching queries with any constant-complexity convex query range can be answered in O(min"@?""0{(1/@?)+k"@?}logn) time, where k"@? is the number of segments intersecting the @?-extended range. The same result can be obtained for disjoint constant-complexity curves, if we allow the BSP to use splitting curves along the given curves. We also describe how to construct a linear-size BSP tree for low-density scenes consisting of n objects in R^d such that @?-approximate range searching with any constant-complexity convex query range can be done in O(logn+min"@?""0{(1/@?^d^-^1)+k"@?}) time.