Deformation monitoring of similar material model based on point cloud feature extraction

Abstract

Three-dimensional (3D) laser scanning technology can reconstruct target models and analyse structural characteristics, and extract complex geometric contents of target structures. Therefore, it is significant to apply 3D laser scanning technology to construct 3D digital models of the monitored objects and to extract their features to judge their movements. This paper presents deformation monitoring method of 3D point cloud based on image information. First, point cloud was first converted into a two-dimensional intensity image. Topological relations between each point can be determined clearly through the intensity image. Second, based on the wavelet modulus maxima technology, the characteristics of two-dimensional intensity images are extracted and the corresponding feature point cloud data are obtained. Finally, According to the feature of the point cloud extracted, the change is calculated to determine the deformation of the point cloud object. An experiment was conducted by using a FOCUS3D laser scanner of FARO. The experiment results further verify that the method yields a good effect of deformation monitoring.

Keywords

• image reconstruction
• feature extraction
• solid modelling
• deformation
• optical scanners
• wavelet transforms
• materials science computing
• structural engineering computing
• target structures
• 3d digital models
• monitored objects
• deformation monitoring method
• image information
• two-dimensional intensity image
• wavelet modulus maxima technology
• point cloud object
• similar material model
• point cloud feature extraction
• three-dimensional laser scanning technology
• structural characteristics analysis
• feature point cloud data
• target model reconstruction
• complex geometric content extraction
• 3d laser scanning technology
• focus3d laser scanner