Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1601-1606, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1601-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1601-1606, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1601-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

DATUM FEATURE EXTRACTION AND DEFORMATION ANALYSIS METHOD BASED ON NORMAL VECTOR OF POINT CLOUD

W. Sun1, J. Wang1, F. Jin1,2, Z. Liang1, and Y. Yang1 W. Sun et al.
  • 1Shandong University of Science and Technology, College of Geomatics, Qingdao, 266590, China
  • 2Shandong Jianzhu University, Jinan, 250101, China

Keywords: Deformation Analysis, Point Cloud, Normal Vector, Datum Feature, Cubic B-spline Curve

Abstract. In order to solve the problem lacking applicable analysis method in the application of three-dimensional laser scanning technology to the field of deformation monitoring, an efficient method extracting datum feature and analysing deformation based on normal vector of point cloud was proposed. Firstly, the kd-tree is used to establish the topological relation. Datum points are detected by tracking the normal vector of point cloud determined by the normal vector of local planar. Then, the cubic B-spline curve fitting is performed on the datum points. Finally, datum elevation and the inclination angle of the radial point are calculated according to the fitted curve and then the deformation information was analyzed. The proposed approach was verified on real large-scale tank data set captured with terrestrial laser scanner in a chemical plant. The results show that the method could obtain the entire information of the monitor object quickly and comprehensively, and reflect accurately the datum feature deformation.