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, Shanghai 200092
Abstract 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.
Key words ：
3D laser scanning
point cloud data
improved RANSAC algorithm
fitted line segment
automatic extraction
Received: 01 January 1900
Corresponding Authors:
Pan Guorong
Cite this article:
Pan Guorong,Gu Chuan,Wang Suihui et al. RESEARCH ON FITTING LINE AUTOMATIC EXTRACTION ALGORITHM OF 3D LASER SCANNING[J]. , 2009, 29(1): 57-63.
Pan Guorong,Gu Chuan,Wang Suihui et al. RESEARCH ON FITTING LINE AUTOMATIC EXTRACTION ALGORITHM OF 3D LASER SCANNING[J]. jgg, 2009, 29(1): 57-63.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2009/V29/I1/57
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