| 摘要: |
| 从最小平方估计的观点揭示了最小平方估计与Laplacian光顺算法之间的关联,并进一步提出了M-估计器在网格光顺中的应用,最后延伸M-估计器至二次加权的M-估计器,在抑制噪声的同时有效地保持了表面特征.在本质上,二次加权的M-估计器就是双向滤波器. |
| 关键词: 网格滤波 特征保持 最小平方估计 M-估计器 二次加权的M-估计器 |
| DOI： |
| 分类号: |
| 基金项目:Supported by the National Natural Science Foundation of China under Grant Nos.60373070, 60521002, 60573147 (国家自然科学基金) |
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| Robust Estimator for 3D Meshes Filtering |
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MAO Zhi-Hong,MA Li-Zhuang,ZHAO Ming-Xi
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| Abstract: |
| In this paper, the link between least-squares (LS) estimator and Laplacian smoothing method from the point of view of LS method is firstly disclosed. Further more, an M-estimator for mesh filtering is presented. At last, the M-estimator is extended to the re-weighted M-estimator to remove noise while preserving the surface feature efficiently. The re-weighted M-estimator is bilateral filtering in natural. |
| Key words: mesh filtering feature preserving least-squares estimation M-estimator re-weighted M-estimator |
