Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a collection R of input regions known in advance. Building on recent work by Löffler and Snoeyink, we show how to leverage our knowledge of R for faster Delaunay computation. Our approach needs no fancy machinery and optimally handles a wide variety of inputs, e.g., overlapping disks of different sizes and fat regions. Keywords: Delaunay triangulation - Data imprecision - Quadtree
An assumption of nearly all algorithms in computational geometry is that the input points are given ...
An assumption of nearly all algorithms in computational geometry is that the input points are given ...
We propose a new algorithm that preprocess a set of n disjoint unit disks to be able to compute the ...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
International audienceWe propose a new algorithm to preprocess a set of n disjoint unit disks in O(n...
An assumption of nearly all algorithms in computational geometry is that the input points are given ...
An assumption of nearly all algorithms in computational geometry is that the input points are given ...
We propose a new algorithm that preprocess a set of n disjoint unit disks to be able to compute the ...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
Suppose we want to compute the Delaunay triangulation of a set P whose points are restricted to a co...
International audienceWe propose a new algorithm to preprocess a set of n disjoint unit disks in O(n...
An assumption of nearly all algorithms in computational geometry is that the input points are given ...
An assumption of nearly all algorithms in computational geometry is that the input points are given ...
We propose a new algorithm that preprocess a set of n disjoint unit disks to be able to compute the ...