摘要
讨论了鞋楦测量数据特征,根据测量数据特点将其转化为平面离散数据进行光顺处理,再将光顺处理后的平面离散数据还原成空间离散数据;提出了基于最小二乘法二次多项式分段拟合的鞋楦数据光顺算法。
This paper discusses the characteristics of measured data of shoe last. Depending on the characteristics of measured data, they are changed into plane scattered data before carrying out data smoothing. After that,plane scattered smoothed data are to be changed back into space scattered data and presents a method of shoe last data smoothed by mains of least square and square patch fitting.
出处
《机械制造与自动化》
2005年第3期41-43,共3页
Machine Building & Automation
关键词
鞋楦
最小二乘法
拟合
光顺
shoe last
least square
fitting
smoothing