Algorithm of reduction for 3D laser scanning data based on scanning line
Xiyang Wang · Journal of Machine Design · 2010
In the surface reconstruction,the number of point clouds on three-dimensional laser scanning lines is so large that it is not helpful for computing,storage and surface reconstruction. By analyzing the characteristics of the applicability of angular deviation method and chordal deviation method,An improved direct cloud data reduction method is proposed in this paper,in which the two are combined. The point clouds are reduced with line-by-line utilizing Matlab. In addition,A arithmetic for curvature estimation is introduced based on the quadratic surface fitting data,and the curvature distribution of point cloud is displayed with color. The calculational result shows that the method is effective.