Analysis of Local Deformation of Buildings Based on Point Cloud Surface Feature Constraints
B.X. Zhou, H.F. Zhang, D.Y. Ma and X.Z. Liu
A local deformation analysis method of buildings based on point cloud surface feature constraints is presented herein. First, the point cloud is pre-processed and segmented to obtain point cloud data of each surface of the building. Second, the surface features of point cloud data are recognized and judged. Based on the surface type, the surface fitting calculation is carried out for the point cloud data, and the characteristic parameters of each surface of the building are obtained. Then, the dimensional and structural constraints of each building surface are calculated. Finally, according to the feature constraint relationship of building surfaces, the spatial position relationship between building surfaces is judged, and the local deformation between surfaces is analysed. Experiments show that this method can judge the local deformation of different parts of the building, analyse and evaluate the safety of the building from multiple local perspectives, and improve the accuracy and reliability of building deformation analysis.
Keywords: Three-dimensional (3-D) laser scanning, building, surface features, deformation analysis