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A greedy Delaunay-based surface reconstruction algorithm
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DOI：10.1007/s00371-003-0217-z.png)
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Abstract
En 中文
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 first and in such a way as to prevent 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 nonuniform sampling.
Keywords:
Delaunay triangulation
surface reconstruction
advancing front method
Journal
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2.9
Papers:
4.6K
Citations:
6.5K
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