The Experts below are selected from a list of 1413 Experts worldwide ranked by ideXlab platform
Yikun Yang - One of the best experts on this subject based on the ideXlab platform.
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Datum feature extraction and deformation analysis method based on normal vector of point cloud
The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, 2018Co-Authors: Wenxiao Sun, Jian Wang, F Jin, Z Liang, Yikun YangAbstract: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.
F Jin - One of the best experts on this subject based on the ideXlab platform.
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Datum feature extraction and deformation analysis method based on normal vector of point cloud
The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, 2018Co-Authors: Wenxiao Sun, Jian Wang, F Jin, Z Liang, Yikun YangAbstract: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.
Wenxiao Sun - One of the best experts on this subject based on the ideXlab platform.
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Datum feature extraction and deformation analysis method based on normal vector of point cloud
The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, 2018Co-Authors: Wenxiao Sun, Jian Wang, F Jin, Z Liang, Yikun YangAbstract: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.
Jian Wang - One of the best experts on this subject based on the ideXlab platform.
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Datum feature extraction and deformation analysis method based on normal vector of point cloud
The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, 2018Co-Authors: Wenxiao Sun, Jian Wang, F Jin, Z Liang, Yikun YangAbstract: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.
Z Liang - One of the best experts on this subject based on the ideXlab platform.
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Datum feature extraction and deformation analysis method based on normal vector of point cloud
The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, 2018Co-Authors: Wenxiao Sun, Jian Wang, F Jin, Z Liang, Yikun YangAbstract: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.
