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Algorithm for Reduction of Scattered Point Cloud Data Based on Curvature
Author(s): 
Pages: 785-789
Year: Issue:  7
Journal: Transactions of Beijing Institute of Technology

Keyword:  散乱点云曲率数据精简边界数据保护;
Abstract: 针对海量散乱点云数据精简问题,提出了以平均曲率为判据的精简算法. 采用八叉树结构对点云数据进行空间分割,由分割结果建立k邻域. 在散乱数据点参数化的基础上,对k邻域内的散乱点进行二次曲面拟合,求出拟合曲面的平均曲率,进而得出邻域内所有数据点的平均曲率均值,以此为判据进行数据精简. 构造曲率差函数,识别出边界数据点,对其进行数据保护. 结果表明,该算法对具有曲率多样化特点的点云数据精简具有一定的理论...
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