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A Feature Preserving and Volume Shrinking Prevented Mesh Smoothing Algorithm

机译:一种特征保存和体积缩小防止网状平滑算法

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This paper presents a novel mesh denoising and smoothing method. We first estimate the principal curvatures and mesh saliency value of each vertex of the mesh, the uniform principal curvatures of a vertex is then calculated based on the weighted average of local mesh saliency values. The weighted bi-cubic B茅zier surface is used to fit the neighborhood of a vertex by the least square method, and the new vertex position is obtained by adjusting the parameters of the local fitting surface. Experiments show that the smoothing method has the following advantages. (1). It can preferably keep the geometry feature of the original mesh model. (2). It can prevent the volume shrinkage of mesh efficiently. (3). The method can attain the smoothing boundaries of non-closed mesh model.
机译:本文介绍了一种新型网眼脱落和平滑方法。我们首先估计网格的每个顶点的主曲率和网格显着性,然后基于局部网格显着性值的加权平均值来计算顶点的均匀主曲率。加权的双立方体B Zier表面用于拟合顶点的附近最小二乘法,通过调节局部装配表面的参数来获得新的顶点位置。实验表明,平滑方法具有以下优点。 (1)。它可以优选地保持原始网格模型的几何特征。 (2)。它可以有效地防止网格的体积收缩。 (3)。该方法可以获得非闭合网格模型的平滑边界。

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