论文部分内容阅读
在曲面重构中,三维激光扫描线点云数据量过大,不利于计算、存储和曲面重构。通过分析角度偏差法和弦偏差法的工程适用特点,提出了同时基于角度偏差法和弦偏差法的改进型点云数据的直接精简方法,利用Matlab实现了对扫描线点云进行逐线精简。此外,介绍了一种基于二次曲面拟合的数据点曲率估算方法,并以颜色显示点云的曲率分布,计算结果显示了方法的有效性。
In the surface reconstruction, the data volume of the 3D laser scanning point cloud is too large, which is not conducive to the calculation, storage and surface reconstruction. By analyzing the application characteristics of angle deviation method and chord deviation method, a direct streamlining method of improved point cloud data based on angle deviation method and chord deviation method is proposed. By using Matlab, line-by-line streamlining of scanning point cloud is achieved. In addition, a method for estimating curvature of data points based on quadric surface fitting is introduced. The curvature distribution of point cloud is displayed in color. The calculation results show the effectiveness of the method.