摘要
对于复杂零件的逆向设计,常常是通过激光、三坐标测量仪等方法对样件三维数据进行采集,可获得高质量的点云文件。但是这些点云文件数量很大,计算时将耗费过多的计算机资源。基于CATIA软件对点云数据进行过滤、划界、分网等处理方法进行了研究,运用曲线重构的方法,创建特征曲线组,利用多段曲线拟合获得点云的特征线网络,最后将拟合得到的曲线与原始点云数据进行误差分析。研究证明,通过这种方法可以获得质量更好、占据资源更小的曲线,为后续曲面和实体的生成奠定了精确基础。
For the reverse design of complex parts, the laser, coordinate measuring machine and other methods are usually used to obtain 3 D data and high quality point cloud files, but the amount of the point cloud data may be very large, calculation will consume too much computer resources. The thesis studied on the method of filte-ring the data, dividing the area, and creating the Grid etc which based on CATIA software, and made a attempt at the method of the curve reconstruction, got the characteristic curve network of the point cloud with several curve fitting method, created characteristic curve group using NURBS, finally, error analysis was taken between the data from fitting and the original one. Through this method we can get the curve with better quality, and it also provides a firm foundation of precision for the follow - up curve and surface＇ s generation.
出处
《安徽理工大学学报（自然科学版）》
CAS
2012年第2期10-12,共3页
Journal of Anhui University of Science and Technology:Natural Science
关键词
逆向工程
点云
样条曲线
曲线重构
Reverse engineering
point cloud
spline
curve reconstruction
