DocumentCode :
29456
Title :
Cylinder Detection in Large-Scale Point Cloud of Pipeline Plant
Author :
Yong-Jin Liu ; Jun-Bin Zhang ; Ji-Chun Hou ; Ji-Cheng Ren ; Wei-Qing Tang
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Volume :
19
Issue :
10
fYear :
2013
fDate :
Oct. 2013
Firstpage :
1700
Lastpage :
1707
Abstract :
The huge number of points scanned from pipeline plants make the plant reconstruction very difficult. Traditional cylinder detection methods cannot be applied directly due to the high computational complexity. In this paper, we explore the structural characteristics of point cloud in pipeline plants and define a structure feature. Based on the structure feature, we propose a hierarchical structure detection and decomposition method that reduces the difficult pipeline-plant reconstruction problem in R3 into a set of simple circle detection problems in R2. Experiments with industrial applications are presented, which demonstrate the efficiency of the proposed structure detection method.
Keywords :
industrial plants; machinery production industries; pipelines; production engineering computing; shapes (structures); solid modelling; computational complexity; cylinder detection method; decomposition method; hierarchical structure detection; large-scale point cloud; pipeline-plant reconstruction problem; plant reconstruction; point cloud structural characteristics; simple circle detection problem; virtual 3D scene reconstruction; Computational modeling; Fuel storage; Histograms; Noise; Pipelines; Solid modeling; Transforms; 3D reconstruction; point cloud; structure analysis;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2013.74
Filename :
6506077
Link To Document :
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