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《Journal of Geodesy and Geodynamics》 2009-01
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RESEARCH ON FITTING LINE AUTOMATIC EXTRACTION ALGORITHM OF 3D LASER SCANNING

Pan Guorong,Gu Chuan,Wang Suihui and Cai Runbin(Department of Surveying and Geo-informatics,Tongji University,Shanghai200092)  
Because of the existence of a large amount of points with gross error in scanned point cloud,many robust algorithms have been adopted to processing range images data.These algorithms often randomly establish a large amount of modules firstly,and then identify them individually,so this course is very inefficient.This paper presents an improved RANCAC algorithm which fully utilizes the intrinsic attributions of scanned line data.The algorithm is both efficient and robust.More rational segmentation results can be obtained using the proposed algorithm.
【Fund】: 现代工程测量国家测绘局重点实验室开放课题(TJES0808);; 索佳合作项目
【CateGory Index】: TP391.41
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【References】
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【Co-references】
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【Secondary References】
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1 ZHU Ruifang,FANG Yong(School of Communication and Information Engineering,Shanghai University,Shanghai 200071,China);New method for multi-view point cloud data synchronization registration[J];Remote Sensing for Land & Resources;2013-02
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