A 3D visualization system for buildings based on laser point cloud data
In order to achieve ideal 3D visualization of buildings and provide effective technical means for building measurement,a 3D visualization system of buildings based on laser point cloud data was designed.Firstly,a laser scanner is used to collect building laser point cloud data,which is processed through redundancy removal,distortion compensation,and filtering.Then,the laser point cloud data is transformed into coordinates,and the 3D Max model-ing software is used to establish a three-dimensional visualization model of the building.Finally,its performance is an-alyzed through experiments,and the results show that the system has strong compatibility and laser point cloud data preprocessing capabilities,The accuracy of building 3D reconstruction exceeds 93％,and the time of building 3D re-construction is controlled within 4 seconds,which has higher efficiency of building 3D reconstruction.
laser point cloudbuilding3D visualizationDSP acquisition hardwarecommunication modulecoordinate transformation
NETL
NSTL
万方数据
