基于扫描线的三维激光扫描数据精简算法  

Algorithm of reduction for 3D laser scanning data based on scanning line

作　　者：李新[1] 王细洋[1] 

机构地区：[1]南昌航空大学航空与机械工程学院,江西南昌330063

出　　处：《机械设计》2010年第4期17-20,共4页Journal of Machine Design

基　　金：航空科学基金资助项目(2006ZE56007)

摘　　要：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 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.

关 键 词：逆向工程(RE) 激光扫描 数据精简 曲率估算 Matlab 

分 类 号：TH132.4[机械工程—机械制造及自动化]