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Anisotropic Smoothing Algorithm for Triangular Mesh Models

机译:三角网格模型的各向异性平滑算法

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An anisotropic smoothing algorithm for removing noise of triangular mesh models is proposed. First, the desirable normals of the triangles are approximated using our desirable normal computing schemes, and then each vertex is repositioned according to desirable normals of adjacent triangular faces, the desirable normals estimated by a weighted sum of normals at neighboring faces. If the face differs strongly from its neighboring face, the weight associated with that neighboring face is set small, and vice versa. We perform the anisotropic smoothing algorithm by controlling the magnitude of weight on estimation desirable normal of each triangular face. Many experimental results demonstrate the smoothing algorithm can not only efficiently remove the noise but also preserve ori ginal model's sharp features and avoid oversmoothing.
机译:提出了一种去除三角形网格模型噪声的各向异性平滑算法。首先,使用我们期望的法线计算方案对三角形的期望法线进行近似,然后根据相邻三角形面的期望法线对每个顶点进行重新定位,该期望法线由相邻面的法线的加权总和估算。如果该脸部与其相邻脸部差异很大,则将与该相邻脸部关联的权重设置为较小,反之亦然。我们通过控制每个三角形面的期望法线上的权重大小来执行各向异性平滑算法。许多实验结果表明,平滑算法不仅可以有效地去除噪声,而且可以保留原始模型的鲜明特征并避免过度平滑。

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