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Inverse-Problem-Based Accuracy Control for Arbitrary-Resolution Fairing of Quasiuniform Cubic B-Spline Curves

机译:基于逆问题的准分辨率整流器的基于逆问题的准确态控制,用于Quasiform Cubic B样条曲线

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摘要

In the process of curves and surfaces fairing with multiresolution analysis, fairing accuracy will be determined by final fairing scale. On the basis of Dyadic wavelet fairing algorithm (DWFA), arbitrary resolution wavelet fairing algorithm (ARWFA), and corresponding software, accuracy control of multiresolution fairing was studied for the uncertainty of fairing scale. Firstly, using the idea of inverse problem for reference, linear hypothesis was adopted to predict the corresponding wavelet scale for any given fairing error. Although linear hypothesis has error, it can be eliminated by multiple iterations. So faired curves can be determined by a minimum number of control vertexes and have the best faring effect under the requirement of accuracy. Secondly, in consideration of efficiency loss caused by iterative algorithm, inverse calculation of fairing scale was presented based on the least squares fitting. With the increase of order of curves, inverse calculation accuracy becomes higher and higher. Verification results show that inverse calculation scale can meet the accuracy requirement when fitting curve is sextic. In the whole fairing process, because there is no approximation algorithm such as interpolation and approximation, faired curves can be reconstructed again exactly. This algorithm meets the idea and essence of wavelet analysis well.
机译:在通过多分辨率分析的曲线和表面整流罩的过程中,通过最终的整流规模确定整理精度。基于二元小波整流算法(DWFA),任意分辨率小波整流算法(ARWFA)和相应的软件,研究了对阴化整流罩的准确性控制,以实现公平规模的不确定性。首先,使用逆问题的思想作为参考,采用线性假设来预测任何给定的整流误差的相应小波尺度。虽然线性假设存在错误,但可以通过多次迭代消除它。因此,公式曲线可以通过最小的控制顶点确定,并且在准确性要求下具有最佳的费用效果。其次,考虑到由迭代算法引起的效率损失,基于最小二乘拟合来提出了整理规模的逆计算。随着曲线顺序的增加,逆计算精度变高,更高。验证结果表明,当拟合曲线是Sextic时,逆计算规模可以满足准确性要求。在整个整流过程中,因为没有近似算法,例如插值和近似,所以可以再次再次重建公平的曲线。该算法符合小波分析的想法和本质。

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