Abstract
We propose an implicit representation for the farthest Voronoi diagram of a set P of n points in the plane located outside a set R of m disjoint axes-parallel rectangular obstacles. The distances are measured according to the L1 shortest path (geodesic) metric. In particular, we design a data structure of size O(N1.5) in O(N1.5 log2 N) time that supports O(N0.5 logN)- time farthest point queries (where N = m + n). We avoid computing the more complicated farthest neighbor Voronoi diagram, whose combinatorial complexity is Θ(mn). This allows one to compute the diameter (and all farthest pairs) of P in O(N1.5 log2N) time. This improves the previous O(mnlogN) bound [1].
Original language | English |
---|---|
Pages | 243-246 |
Number of pages | 4 |
State | Published - 2005 |
Externally published | Yes |
Event | 17th Canadian Conference on Computational Geometry, CCCG 2005 - Windsor, Canada Duration: 10 Aug 2005 → 12 Aug 2005 |
Conference
Conference | 17th Canadian Conference on Computational Geometry, CCCG 2005 |
---|---|
Country/Territory | Canada |
City | Windsor |
Period | 10/08/05 → 12/08/05 |