首页> 外文会议>International Conference on Geometric Modeling and Processing(GMP 2006); 20060726-28; Pittsburgh,PA(US) >Efficient Piecewise Linear Approximation of Bezier Curves with Improved Sharp Error Bound
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Efficient Piecewise Linear Approximation of Bezier Curves with Improved Sharp Error Bound

机译:具有改进的尖锐误差界的贝塞尔曲线的有效分段线性逼近

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摘要

This paper presents an efficient algorithm for piecewise linear approximation of Bezier curves with improved sharp error bound. Given a Bezier curve of arbitrary degree, an approximation polygon having the same number of vertices as that of the control polygon is obtained through efficient local refinement of the initial control vertices. The approximation produces improved error bound compared with several existing solutions. With the explicit sharp error bound, it is also possible for prior estimation of necessary subdivisions to meet a pre-defined tolerance. The approximation can also be locally and adap-tively refined for reducing the number of vertices of the piecewise linear approximation while meeting the required tolerance.
机译:本文提出了一种有效的算法,用于改进贝塞尔曲线的分段线性逼近,并改善了尖锐的误差范围。给定任意度数的贝塞尔曲线,通过对初始控制顶点进行有效的局部细化,可以获得与控制多边形具有相同数量顶点的近似多边形。与几种现有解决方案相比,该近似方法可以改善误差范围。利用明确的尖锐误差界限,还可以对必要细分进行事先估算以满足预定的公差。近似值也可以局部地和自适应地细化,以减少分段线性近似值的顶点数量,同时满足所需的公差。

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