ملخص
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].
| اللغة الأصلية | الإنجليزيّة |
|---|---|
| الصفحات | 243-246 |
| عدد الصفحات | 4 |
| حالة النشر | نُشِر - 2005 |
| منشور خارجيًا | نعم |
| الحدث | 17th Canadian Conference on Computational Geometry, CCCG 2005 - Windsor, كندا المدة: 10 أغسطس 2005 → 12 أغسطس 2005 |
!!Conference
| !!Conference | 17th Canadian Conference on Computational Geometry, CCCG 2005 |
|---|---|
| الدولة/الإقليم | كندا |
| المدينة | Windsor |
| المدة | 10/08/05 → 12/08/05 |
بصمة
أدرس بدقة موضوعات البحث “Farthest neighbor voronoi diagram in the presence of rectangular obstacles'. فهما يشكلان معًا بصمة فريدة.قم بذكر هذا
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