基于切片技术的点云数据预处理研究

针对扫描点云杂乱无序的特点，讨论了点云数据预处理的问题，提出了一种新的基于点云切片的数据预处理迭代算法．通过对点云最小包围盒进行均匀分割及分割后点云的密度分析，对密度过大的分割块进行迭代分割，建立了3个方向的点云切片和截面线．结果不仅大大减少了点云数据量，并且在点云密度过大的区域很好地保持了模型的原始特征，同时将原始的无序数据点集转化为具有层列结构的有序组织形式，确定了各点之间的相互关系，为后续曲线曲面拟合做了很好的准备．

Research on data pre-processing with point cloud slicing technique

Several problems about data pre-processing were analyzed and solved considering the original scattered point cloud, and a new iterative algorithm based on point cloud slicing was proposed. First, the point cloud was divided into even parts; and then the parts with great density were divided according to the iterative algorithm. After that, the original scattered data points were turned into the regular forms with layer structure by construc- ting point cloud slicing in 3-directions and creating section curve of each point cloud slicing. Also, the character was kept well. The relationship among the points was set up, and the quantity of the point cloud was reduced a lot. This was well-prepared for the following steps.