用参数样条插值挖补方法进行大规模散乱数据曲面造型
Surface Construction Over Large Scale Scattered Data Using Parametric Spline Interpolation and Hole Filling Approach
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摘要: 利用矩形域中带连续边界条件的多元散乱数据最优插值方法,结合张量积型参数样条插值,从挖补的思想得到启发,提出一种适合大规模散乱数据曲面造型的参数样条插值挖补方法.用该方法构造的参数曲面内部Cm,n连续,挖补的矩形边界分别为Cm-1,0和C0,n-1连续.最后就常见的m=n=2时的双三次样条给出一些数值例子,说明该算法简单易行,效果良好.Abstract: Using multivariate optimal interpolation to scattered data with uniform rectangular partition and continuous boundary conditions,applying the paradigm of tensor product parametric spline surface interpolation ,and hole filling technique,a novel approach to construct smooth surface over massive scattered data is presented.The resulting surface is Cm,n in the interior,and across the boundaries of hole filling region are Cm-1,0and C0,n-1respectively.Numerical examples for m=n=2b-i cubic surface show that the method is easy and applicable.
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