【摘要】 对于大规模散乱数据而言,传统的散乱数据的插值方法由于要通过求解联立方程组来得到插值曲面,因此无法适应大规模散乱数据的逼近.本文提出的基于B啨zier曲面的大规模散乱数据的插值方法,是一种通过自适应的迭代方法,对大规模的采样点进行B啨zier曲面插值的方法,有助于提高计算的速度和精度.更多还原

【Abstract】 For the large scale scattered data, the original interpolation method of the scattered data cannot suit for the interpolation of large scale scattered data, because the result must be gained by resolveing the large numbers of functions. The scattered data interpolation method based on Bézier surface in this paper is a large scattered data interpolation based on Bézier surface by the adaptive hierarchical method, which can help to improve the calculating speed and reduce the errors.更多还原