| 基于点云数据的去噪算法研究 |
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| 引用本文： | 陈崇帮,欧新良,唐伟,李琦. 基于点云数据的去噪算法研究[J]. 长沙大学学报, 2013, 0(5): 58-60 |
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| 作者姓名： | 陈崇帮 欧新良 唐伟 李琦 |
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| 作者单位： | [1]湖南工业大学计算机与通信学院,湖南株洲412007 [2]长沙大学计算机科学与技术系,湖南长沙410022 [3]国防科技大学信息中心,湖南长沙410073 |
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| 基金项目： | 湖南省教育厅科研项目＂离散曲面全局形状分析研究＂（批准号：09A010）. |
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| 摘 要： | 阐述了点云数据的去噪方法的研究情况,并对几种经典的去噪算法进行了介绍分析,对其优缺点进行了总结.通过实验对各种主要算法进行了有效性检验,并对目前及未来的研究重点做了展望.
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| 关 键 词： | 点云数据 光顺 去噪 k-邻域 |
Denoising Method Based on Point Cloud Data |
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| CHEN ChongbangI,OU Xinliang,TANG Wei,LI Qi. Denoising Method Based on Point Cloud Data[J]. Journal of Changsha University, 2013, 0(5): 58-60 |
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| Authors: | CHEN ChongbangI OU Xinliang TANG Wei LI Qi |
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| Affiliation: | 3 ( 1. School of Computer Science and Communication, Hunan University of Technology, Zhuzhou Hunan 412007, China; 2. Department of Computer Science and Technology, Changsha University, Changsha Hunan 410022, China; 3. Information Center of National University of Defense Technology, Changsha Hunan 410073, China) |
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| Abstract: | This paper describes the research situation for the denoising method of point cloud data, introduces several classic denoising algorithms, and summarizes their advantages and disadvantages. The validity of various main algorithms is tested through the experi- ment. The paper also discusses current and future priority research issues in this field. |
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| Keywords: | point cloud data smoothing denoise k - nearest neighbors |
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