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