| 散乱点云离群点的分类识别算法 |
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| 引用本文： | 聂建辉,胡英,马孜.散乱点云离群点的分类识别算法[J].计算机辅助设计与图形学学报,2011,23(9). |
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| 作者姓名： | 聂建辉 胡英 马孜 |
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| 作者单位： | 大连海事大学自动化研究中心 大连 116026 |
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| 基金项目： | 国家科技重大专项(2009ZX04001-021) |
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| 摘 要： | 散乱点云离群点识别和滤除是重建高质量曲面的前提,也是散乱点云预处理的重要步骤.提出一种散乱点云区域增长策略和一个基于曲面变化度的局部离群指标SVLOF,并将其应用到离群点识别中.通过分析离群点产生的原因,根据离群点到点云主体的距离将离群点分为远离群点和近离群点2类;对远离群点采用基于三维区域增长的方法进行识别,而对于近离群点采用SVLOF系数进行识别.基于仿真数据和实测数据的实验均表明,采用文中算法能够快速、有效地检测出孤立离群点和小型聚类离群点.
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| 关 键 词： | 散乱点云 离群点 区域增长 局部离群系数 |
Outlier Detection of Scattered Point Cloud by Classification |
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| Nie Jianhui,Hu Ying,Ma Zi.Outlier Detection of Scattered Point Cloud by Classification[J].Journal of Computer-Aided Design & Computer Graphics,2011,23(9). |
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| Authors: | Nie Jianhui Hu Ying Ma Zi |
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| Affiliation: | Nie Jianhui,Hu Ying,and Ma Zi(Automation Research Center,Dalian Maritime University,Dalian 116026) |
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| Abstract: | Outlier detection and filtering are essential to reconstruct high quality surface in scattered point cloud preprocessing.In this paper a region growing algorithm for scattered point cloud and a new surface variation based local outlier factor(SVLOF) are proposed.They are employed to detect outliers from scattered point cloud.The reason for outlier's generation is analyzed and outliers are then classified to far outliers and near outliers based on their distances to the main body of the point cloud.Different... |
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| Keywords: | scattered point cloud outliers region growing local outlier factor |
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