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The Iteration Method for Sample-based Polynomial Approximation of Rational B-spline Curves

机译:B样条曲线的基于样本的多项式逼近的迭代方法

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摘要

A method to approximate rational B-spline curves with B-spline curve sequences is presented. Firstly, data points are obtained by evenly sampled from the given rational B-spline curve. Then an initial B-spline approximation curve is generated simultaneously by using these points as initial control points. Secondly, these control points are adjusted gradually by the scheme of progressive iterative approximation. Weighted and local progressive iterative approximations are also used to accelerate speed or obtain more flexibility. At last, numerical examples exhibit convergence rates with different error algorithms and show that L_1-error criterion is better than L_2-error and L_∞-error criterions.
机译:提出了一种用B样条曲线序列逼近有理B样条曲线的方法。首先,通过从给定的有理B样条曲线中均匀采样来获得数据点。然后,通过将这些点用作初始控制点,同时生成初始B样条曲线逼近曲线。其次,这些控制点通过渐进式迭代近似方案逐渐调整。加权和局部渐进式迭代逼近也可用于加快速度或获得更大的灵活性。最后,数值算例表明了不同误差算法的收敛速度,并表明L_1误差准则优于L_2误差准则和L_∞误差准则。

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