Novel parallel algorithm for constructing Delaunay triangulation based on a twofold-divide-and-conquer scheme
Wu W. Z. ; Rui Y. K. ; Su F. Z. ; Cheng L. ; Wang J. C.
2014
关键词adaptive subdivision parallel computing twofold-divide-and-conquer scheme Delaunay triangulation voronoi diagrams lidar data tessellation
英文摘要To increase the efficiency when processing large data sets, a novel parallel algorithm is proposed for constructing the Delaunay triangulation of a planar point set based on a twofold-divide-and-conquer scheme. This algorithm automatically divides the planar point set into several non-overlapping subsets along the x-axis and y-axis directions alternately, according to the number of points and their spatial distribution. Next, the Guibas-Stolfi divide-and-conquer algorithm is applied to construct Delaunay sub-triangulations in each subset. Finally, the sub-triangulations are merged based on the binary tree. All three sequential steps are processed using multitasking parallel technology. Our results show that the proposed parallel algorithm is efficient for constructing the Delaunay triangulation with a good speed-up.
出处Giscience & Remote Sensing
51
5
537-554
收录类别SCI
语种英语
ISSN号1548-1603
内容类型SCI/SSCI论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/29511]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Wu W. Z.,Rui Y. K.,Su F. Z.,et al. Novel parallel algorithm for constructing Delaunay triangulation based on a twofold-divide-and-conquer scheme. 2014.
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