一种基于非均匀网格的点云数据缩减算法

摘要

针对点云数据量大的特点,提出了基于非均匀网格的点云数据缩减算法.采用球面投影的方法建立规则网格,以网格内部点的法矢的标准差作为网格细分的依据,用中值滤波的方法确定每个网格内的保留点,通过实验验证了该算法的可行性,并取得了良好的效果.%This paper proposes an algorithm of data reduction based on asymmetric gridding in connection with the vast a mount of point data. At first,a symmetric grid is built by spherical projection,and the standard deviation is used as base to de termine whether the grid is divided or not. Then one point in every grid is kept down by median filtering. At last,this algorithm is validated and proved well by experiments.