摘要
提出一种新方法拟合散乱点云数据.拟合曲面由一个三变量模型的零水平集定义,该三变量模型是基于径向基函数散乱数据的一个隐式最小二乘拟合.数值实验结果表明,新方法比基于径向基函数的插值曲面方法快,并且容易实现.
A new technique is described for fitting scattered point cloud data. The fitting surface is determined as zero level isosurface of a trivariate mode which is an implicit least squares fit of the data based upon radial basis functions. According to our numerical experiments, the new method is essentially faster than interpola- ting surface method based upon radial basis functions, and much simpler to implement.
出处
《吉林大学学报（理学版）》
CAS
CSCD
北大核心
2010年第2期157-162,共6页
Journal of Jilin University:Science Edition
基金
国家自然科学基金(批准号:60673021
60773098)
关键词
曲面插值
曲面拟合
点云
径向基函数
surface interpolating
surface fitting
point clouds
radial basis function
