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基于采样保真性的点模型去噪 被引量：1

Sampling Likelihood Based Denoising of Point-Sampled Surfaces
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摘要 提出了一种基于采样保真性的点模型去噪算法。该算法通过移动最小二乘曲面,计算每个采样点的保真性;由法向张量投票方法,测量采样点的特征性;利用改进的双边滤波算子获得各个采样点的滤波方向,结合保真性和特征性对点模型去噪。实验结果表明,算法是鲁棒的,在剔除噪声的同时能够有效地保持曲面的几何特征。 A robust denoising algorithm for point-sampled surfaces is proposed based on sampling likelihood. In terms of moving least squares surface, the sampling likelihood for each point on point-sampled surfaces is computed, which measures the probability that a 3D point is located on the sampled surface. Based on the normal tensor voting, the feature intensity of sample point is evaluated. By applying modified bilateral filtering to each normal, and in combination with sampling likelihood and feature intensity, the filtered point-sampled surfaces are obtained. Experimental results demonstrate that the algorithm is robust, and can denoise the noise efficiently while preserving the surface features.
作者 王仁芳 李继芳 奚李峰 张三元
机构地区 浙江万里学院计算机与信息学院 浙江大学计算机科学与技术学院
出处 《工程图学学报》 CSCD 北大核心 2009年第3期105-112,共8页 Journal of Engineering Graphics
基金 国家“863”高技术研究发展计划资助项目(2007AA01Z311 2007AA04Z1A5) 浙江省教育厅科研资助项目(Y200805211 Y200805999)
关键词 计算机应用 采样保真性 特征性 双边滤波 点模型去噪 computer application sampling likelihood feature intensity bilateral filtering point-sampled surfaces denoising
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献16

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二级参考文献20

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共引文献2

同被引文献10

  • 1肖春霞 李辉 缪永伟等.基于非局部几何信号的点模型去噪算法.软件学报,2006,17:110-119.
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  • 5Peng J, Strela V, Zorin D. A Simple Algorithm for Surface Denoising[C] //Proc. of ACM Siggraph. Washington D. C., USA: [s. n.] , 2001.
  • 6Pauly M, Gross M. Spectral Processing of Point-sampled Geometry[C] //Proc. of the 28th Annual Conference on Computer Graphics and Interactive Techniques. New York, USA: ACM Press, 2001.
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  • 8Jones T, Durand F, Desbrun M. Non-iterative, Feature-preserving Mesh Smoothing[J]. ACM Transactions on Graphics, 2003, 22(3): 943-949.
  • 9徐海银,方雄兵,胡利安.点到隐式曲面的正交投影计算[J].计算机辅助设计与图形学学报,2008,20(12):1641-1646. 被引量：5
  • 10李元旺,黄文明,温佩芝,吴晓军.空间超限邻域点云去噪算法的研究与实现[J].计算机系统应用,2010,19(3):35-38. 被引量：8

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二级引证文献6

工程图学学报
2009年 第3期

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