中文摘要：

消除噪声是构造完美三维模型过程中必不可少的一步。梁新合提出基于自适应最优邻域的散乱点云降噪算法。但该算法效率较低,为此提出用准柯西函数取代该算法所采用的高斯函数,提高了算法效率。实验结果表明,本文算法能在有效剔除点模型表面噪声的同时较好地保持表面的尖锐特征。

英文摘要：

Denoising is an essential step in creating perfect point-sampled models.Liang Xinhe extends image mean-shift filtering to 3D surface smoothing by taking the vertex normal and curvature as range component and the vertex position as the spatial component,which is not efficient.For this reason,this paper proposes to use quasi-Cauchy kernel to replace the Gauss kernel used in the Guofei.Hu’algorithm.Experiments show that our method can smooth the noise efficiently and preserve the sharp features of the surface effectively.