Wavefront algorithm for triangulation of scattered data
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摘要: 提出一种改进的波前算法,从点云任意一点开始构造初始波前,通过匹配点的加入和三角形的形成,不断修正波前并向外扩展,从而对散乱数据点进行三角剖分.对不同测量手段得到的数据点的剖分结果表明,该算法速度快、网格质量高.剖分结果以翼边数据结构存储,供模型重构时使用.Abstract: An approach of wavefront algorithm for automatic triangulation was presented. The first wavefront edge was constructed from an arbitrary point along with its adjacent points, then an appropriate third point was chosen to form a well-shaped triangle. By repetitively updating wavefront and searching new matching point, new triangles were generated sequentially until the triangulation process was finished. Results oftriangulation were recorded in winged-edge structure.
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Key words:
- model construction /
- reverse engineering /
- triangulation /
- winged-edge structure
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