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Improvement on constrained multi-degree reduction of Bezier surfaces using Jacobi polynomials

机译:使用Jacobi多项式改进Bezier曲面的约束多级约简

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摘要

In 2009, proposed an explicit method for unconstrained and constrained multi-degree reduction of tensor product Bézier surfaces using Jacobi polynomials. For the unconstrained case, this method achieves the optimal result with respect to theL2-error.In this paper, we first point out that for the constrained case the result by is not optimal with respect to theL2-error. Then we present an improved method to achieve the optimal constrained multi-degree reduction using Jacobi polynomials as well, but in a slightly different way. Finally, we extend the improved method to solve another optimal constrained multi-degree reduction problem with general boundary constraints. Some examples are included to verify the improvement by our method.
机译:在2009年,提出了一种使用Jacobi多项式对张量积Bézier曲面进行无约束和约束多度约简的显式方法。对于无约束的情况,该方法针对L2误差实现了最佳结果。本文首先指出,对于受约束的情况,结果对于L2误差而言并非最优。然后,我们提出了一种改进的方法,该方法也可以使用Jacobi多项式来实现最优约束多级约简,但是方式略有不同。最后,我们将改进的方法扩展为解决另一个具有一般边界约束的最优约束多级约简问题。包括一些示例,以验证我们方法的改进。

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