摘要
提出了一种基于支持向量回归的点云曲面重构方法,并以径向基函数为核函数重建复杂线性函数曲面模型,实验表明该方法能直接重建散乱点数据,具有误差小,速度快等优点。
An efficient method for point data sets based on support vector regression is presented, Radial basis function is used as the kernel function of the SVR for modeling linear function surface. Through the experiment, the surface of point sets could be reconstructed directly with the benefits of excellent error accuracy, high efficiency.
出处
《机械设计与制造》
北大核心
2008年第3期194-195,共2页
Machinery Design & Manufacture
基金
国家自然科学基金资助项目(10576027)
关键词
支持向量回归机
点云
曲面重建
Support vector regression machine
Point sets
Surface reconstruction
