一种散乱数据曲面拟合算法  

A method for fitting scattered points

作　　者：杨国权[1] 王春[1] 蔡玉俊[1] 

机构地区：[1]唐山学院,唐山063000

出　　处：《机械设计与制造》2005年第10期29-30,共2页Machinery Design & Manufacture

摘　　要：这里提出了一种散乱数据点的曲面拟合方法。首先,先对点云进行网格划分,然后采用二次曲面的最小二乘拟合确定网格点的坐标。再对这些行的网格点进行蒙皮曲面造型,生成B样条曲面。为了得到更高精度的逼近曲面,以此曲面为基面,采用B样条曲面的最小二乘拟合方法对原始散乱点云作进一步参数化。从而可以获得较高逼近精度的曲面。最后给出的算例证明此方法是简单有效的。A new method for fitting scattered points are presented in this paper. Firstly, a initial regular grid is given. Secondly, the coordinate value at each grid point will be calculated with conicoid least square. So a new B - spline surface can be gotten by lofting method. For getting more accurate surface, B - spline least square fittingfor scattered points is used. At last, two examples are given to verify the usefulness and simplicity.

关 键 词：散乱点 拟合 B样条 

分 类 号：TH12[机械工程—机械设计及理论]