Data Fitting by Quadratic Splines
In this paper the problem of data fitting using quadratic spline is addressed. An efficient algorithm is presented. Given a set of ordered planar points, the algorithm divides this set of points into subsets, while the data points in each subset are collinear within the given tolerance. The data points in each subset are fitted by a curve segment and all data points are fitted by a C1 quadratic spline curve. The algorithm is simple and reliable, decreases the number of fitting curve segments and maintains the approximating accuracy. This algorithm is tested and can be applied to reverse engineering and image curves fitting.
data fitting quadratic spline reverse engineering
Guo Fenghua
School of Computer Science and Technology Shandong University Jinan,P.R.China
国际会议
长沙
英文
445-448
2009-04-11（万方平台首次上网日期，不代表论文的发表时间）