节点文献
一种散乱数据曲面拟合算法
A method for fitting scattered points
【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。
【Abstract】 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 fitting for scattered points is used.At last,two examples are given to verify the usefulness and simplicity.
- 【文献出处】 机械设计与制造 ,Machinery Design & Manufacture , 编辑部邮箱 ,2005年10期
- 【分类号】TH122
- 【被引频次】13
- 【下载频次】663