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Dynamic Centripetal Parameterization Method for B-Spline Curve Interpolation

机译:B样条曲线插值的动态中心参数化方法

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B-spline data interpolation and approximation require parameterization at the first step. For this purpose, many algorithms have been developed, such as the uniform, centripetal, chord length, Foley and universal methods. The uniform method works well if the input data points are distributed regularly. The chord length method produces large deflections if long chords exist in the data polygon. To remove this effect, the centripetal method was developed. The traditional centripetal method uses a fixed power for chord lengths for parameter distribution. In this paper, we propose an improved version of the centripetal parameterization method for B-spline data interpolation. Our experiments show that individual dynamic power calculation can be possible for each chord length. This new parameterization method produces better behavior when compared to the traditional centripetal method and is more robust against fast changes in chord lengths since it uses the natural logarithm of chord lengths to calculate the parameters.
机译:B样条曲线数据插值和近似在第一步需要参数化。为此目的,已经开发了许多算法,例如均匀,离心,弦长,Foley和普通方法。如果输入数据点定期分布,则均匀的方法很好。如果在数据多边形中存在长弦,则弦长方法会产生大的偏转。为了消除这种效果,开发了向心甲醚方法。传统的Centripetal方法使用固定电源用于参数分布的Chord长度。在本文中,我们提出了一种改进的B样条数据插值的向量传感器方法的版本。我们的实验表明,每个弦长都可以实现各个动态功率计算。与传统的离心法方法相比,这种新的参数化方法产生更好的行为,并且更强大地防止和弦长度的快速变化,因为它使用了Chord长度的自然对数来计算参数。

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