孙殿柱, 刘健, 李延瑞, 孙永伟. 三维散乱点云的Voronoi拓扑近邻点集查询算法[J]. 武汉大学学报 ( 信息科学版), 2011, 36(1): 86-91.
引用本文: 孙殿柱, 刘健, 李延瑞, 孙永伟. 三维散乱点云的Voronoi拓扑近邻点集查询算法[J]. 武汉大学学报 ( 信息科学版), 2011, 36(1): 86-91.
SUN Dianzhu, LIU Jian, LI Yanrui, SUN Yongwei. An Algorithm Inquiring Voronoi Topological Neighbors for 3D Scattered Point-cloud[J]. Geomatics and Information Science of Wuhan University, 2011, 36(1): 86-91.
Citation: SUN Dianzhu, LIU Jian, LI Yanrui, SUN Yongwei. An Algorithm Inquiring Voronoi Topological Neighbors for 3D Scattered Point-cloud[J]. Geomatics and Information Science of Wuhan University, 2011, 36(1): 86-91.

三维散乱点云的Voronoi拓扑近邻点集查询算法

An Algorithm Inquiring Voronoi Topological Neighbors for 3D Scattered Point-cloud

  • 摘要: 提出一种三维散乱点云的Voronoi拓扑近邻点集查询算法,该算法改进R*-tree建立三维散乱点云的空间索引结构,采用动态扩展空心球算法获取样点的k近邻点集,通过偏心扩展和自适应扩展获取样点拓扑近邻参考数据,生成该局部点集的Voronoi图,查询样点Voronoi邻域获取样点拓扑近邻点集。通过算法时间复杂度分析及相关实验,证明该算法可快速、准确地获取任意复杂散乱点云的Voronoi拓扑近邻点集。

     

    Abstract: An algorithm inquiring topological neighbors for 3d scattered point-cloud based on the Voronoi Diagram of local point-set is proposed,which has four steps: first,R*-tree was applied and improved to organize the spatial indexing structure of scattered point-cloud;second,the neighboring points set of the sampling point was gain according to the algorithm searching for k-nearest neighbors;third,the topological neighbors reference data of the sampling point were obtained through eccentric and adaptive expansion;fourth,the Voronoi topological neighbors inquiring was realized according to Voronoi diagram of topological neighbors reference data.It was proved that this algorithm can obtain topological neighbors of arbitrary complicated scattered point-cloud accurately and efficiently through analyzing time complexity and doing related experiments.

     

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