For a given finite point set S, a voronoi diagram is a tessellation of a euclidean space. In the 2D case, it consists of conforming convex polygons surrounding each point such that for given a point p in S, any point in the enclosing polygon is closer to p than any other point in S.
I managed to build the Voronoï diagram of n points using Fortune's algorithm. This gives me a set of half-edges, some of which being infinite (no starting point and/or no end point). I'd like to ...
Which is the fastest library for performing delaunay triangulation of sets with millions if 3D points? Are there also GPU versions available? From the other side, having the voronoi tessellation of ...
I have always been told that the Voronoi diagram is the dual of the Delaunay triangulation problem. In what sense can they be duals of each other? I thought that dual problems (i.e. in linear ...