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《Science of Surveying and Mapping》 2015-01
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A RANSAC-based stable plane fitting method of point clouds

LI Meng-di;JIANG Sheng-ping;WANG Hong-ping;China University of Geosciences;Autodesk,Inc.;  
In the process of plane fitting of point clouds,there are some gross errors and outliers.In order to overcome this shortcoming,a robust plane fitting method based on RANSAC(RANdom SAmple Consensus)was proposed in the paper.It combined with eigenvalue method and obtained some ideal plane fitting parameters through setting certain criteria to remove the gross errors and outliers.The proposed algorithm was used to do plane fitting with the simulation data and the measured data,and result showed that compared with traditional methods,the proposed method could do well with the point clouds containing errors and outliners,thus be a robust plane fitting algorithm.
【CateGory Index】: P207
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【Citations】
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1 GUO Ji-dong~1,XIANG Hui~2(1.Department of Information Management,Shandong Economic University,Jinan Shandong 250014,China;2.School of Computer Science and Technology,Shandong University,Jinan Shandong 250013,China);Robust method for estimating the fundamental matrix[J];Computer Applications;2005-12
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 Guan Yunlan1),Liu Shaotang2),Zhou Shijian1,3),Zhang Liting1) and Lu Tieding1)(1)School of Surveying and Mapping Engineering,East China Institute of Technology,Fuzhou 344000 2)Department of Civil Engineering,Henan Institute of Engineering,Zhengzhou 451191 3)Jiangxi Academy of Science,Nanchang 330029;ROBUST PLANE FITTING OF POINT CLOUDS BASED ON TLS[J];Journal of Geodesy and Geodynamics;2011-05
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