图学学报
• 应用与交流 • 上一篇
出版日期:
发布日期:
Online:
Published:
摘要: 通过对面片法向均值滤波去噪方法的研究,提出了一种改进的混合型去噪算法。通过取值顶点的一环正常边二面角的平均,将顶点分为噪声顶点和一般顶点,然后对噪声顶点利用Laplacian方法进行平移去噪,同时将保持特征的面片法向均值滤波去噪方法作用于一般顶点。实验结果表明:这种混合方法能有效地去除大小噪声,并且在去噪过程中能保持网格的特征。
关键词: 计算机图形学, Laplacian网格去噪, 面片法向平滑滤波, 保持特征
Abstract: Based on the research on the Mean Normal Filter for the mesh denoising, an improved hybrid denoising algorithm is proposed. Firstly, the vertices are classified into the noisy vertex and regular vertex using the arithmetic mean of the dihedral angle associated with the vertex’s all regular edge. Then, the displacement vector of the noisy vertex is that of the Laplacian method, and the displacement vector of the regular vertex is that of the Mean Normal Filter. Experimental results demonstrate that this hybrid method can efficiently suppress small and big noises while preserving the feature of the mesh during the denoising process.
Key words: computer graphics, Laplacian mesh denoising, mean normal filter, feature-preserved
高 伟, 李 政, 康 倩. 利用面片法向均值滤波的混合型网格去噪方法[J]. 图学学报.
GAO Wei, LI Zheng, KANG Qian. A Hybrid Mesh Denoising Algorithm Based on the Mean Normal Filter[J]. Journal of Graphics.
0 / / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://www.txxb.com.cn/CN/
http://www.txxb.com.cn/CN/Y2011/V32/I4/84