Cylinder detection in large-scale point cloud of pipeline plant.
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 IR³ into a set of simple circle detection problems in IR². Experiments with industrial applications are presented, which demonstrate the efficiency of the proposed structure detection method.
TNList, Department of Computer Science and Technology, Tsinghua University, Room 3-530, FIT Building, Haidian District, Beijing 100084, P.R. China. liuyongjin@tsinghua.edu.cn
Yong-Jin
YJ
Liu
Jun-Bin
JB
Zhang
Ji-Chun
JC
Hou
Ji-Cheng
JC
Ren
Wei-Qing
WQ
Tang