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基于小波分析的空间点云消噪
Noise Reduction of Data Points Based no Wavelet Analysis

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基于小波分析的空间点云消噪.pdf (398.2Kb)
Date
2009
Author
张伟
陈羽峰
吕定山
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  • 航空航天-已发表论文 [2242]
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Abstract
数据采集是工程图学和三维扫描技术中的重要一环。在采集到的点云数据中,由于仪器精度以及人为操作等因素会使得采集的数据中存在噪声。提出一种实用的点云消噪的方法,即将三维点云模型片层化,然后利用小波理论在二维平面内良好的性质,对每个片层进行噪声点的检测并去除。最后重构模型,达到对空间点云消噪的目的。
 
Process of collecting data points is an important part of computer graphics and scans technique.Owning to the precision of instruments and manual manipulation,the noise points are inevitable.In this paper,an applied method of noise reduction is put forward.The point cloud is sliced up to several layers,which are wiped off the noise points of every layer by using the wavelet analysis.Finally,the model is reconstructed to bring about the desired result.
 
Citation
机械制造与自动化,2009,(6):59-61
URI
https://dspace.xmu.edu.cn/handle/2288/105164

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