A Greedy Delaunay Based Surface Reconstruction Algorithm
Abstract
In this paper, we present a new greedy algorithm for surface reconstruction from unorganized point sets. Starting from a seed facet, a piecewise linear surface is grown by adding Delaunay triangles one by one. The most plausible triangles are added in the first place, in a way that prevents the appearance of topological singularities. The output is thus guaranteed to be a piecewise linear orientable manifold, possibly with boundary. Experiments show that this method is very fast, and achieves topologically correct reconstruction in most cases. Moreover, it can handle surfaces with complex topology, boundaries, and non uniform sampling.