| Literature DB >> 23929849 |
Yong-Jin Liu1, Jun-Bin Zhang, Ji-Chun Hou, Ji-Cheng Ren, Wei-Qing Tang.
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 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.Year: 2013 PMID: 23929849 DOI: 10.1109/TVCG.2013.74
Source DB: PubMed Journal: IEEE Trans Vis Comput Graph ISSN: 1077-2626 Impact factor: 4.579