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A Sufficient Condition for Uniform Convergence of Stationary p-Subdivision Scheme

机译:平稳p细分方案一致收敛的充分条件

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Subdivision is a convenient tool to construct objective curves and surfaces directly from given scattered points. Stationary p-subdivision schemes are highly efficient in the acquisitions of curve/surface points in shape modeling. The features of supported set of nonnegative mask of uniform convergent stationary subdivision schemes are important to their theoretic researches and applications. According to the properties of supported set of the nonnegative mask, a sufficient condition for uniform convergence of stationary p-subdivision scheme is presented. This condition is proved with two propositions and spline function. The contribution of this work is that the convergence of a stationary p-subdivision scheme can be judged directly. This direct judge is in favor of applications of this scheme.
机译:细分是一种直接从给定的散点构造目标曲线和曲面的便捷工具。静态p细分方案在形状建模中获取曲线/曲面点时非常高效。一致收敛平稳细分方案的非负掩码的支持集的特征对于它们的理论研究和应用具有重要意义。根据非负掩码支持集的性质,给出了平稳p细分方案统一收敛的充分条件。用两个命题和样条函数证明了这一条件。这项工作的贡献在于,可以直接判断平稳的p细分方案的收敛性。该直接法官赞成该方案的应用。

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