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Surface reconstruction from scattered point cloud based on RBF and POU

机译:基于RBF和POU的散乱点云曲面重构

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摘要

A method for surface reconstruction from scattered point cloud based on the combination of RBF and POU is proposed. First, point cloud is decomposed into a set of slightly overlapping subdomains in the form of binary tree. Next, local reconstruction functions are evaluated by using radial basis functions in each subdomain. Then, the global reconstruction function is obtained by weighted blending of these local reconstruction functions. Finally, the implicit surface is visualized by using Bloomenthal method. The experiments prove that the surfaces resulted from the proposed method are continuous and smooth.
机译:提出了一种基于RBF和POU相结合的散点云曲面重构方法。首先,以二叉树的形式将点云分解为一组稍微重叠的子域。接下来,通过在每个子域中使用径向基函数来评估局部重建函数。然后,通过对这些局部重建函数进行加权混合来获得全局重建函数。最后,通过使用Bloomenthal方法可视化隐式表面。实验证明,该方法产生的表面连续且光滑。

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