Design And Research Of 3D Reconstruction System Based On Single-line Laser Scanner

With the gradual deepening of research on computer vision and reverse engineering technology,the 3D reconstruction method based on 3D laser point cloud data has become a hot research topic for various research and development teams.Three-dimensional reconstruction technology is a technology that uses depth cameras or laser scanners to obtain three-dimensional data and then recovers three-dimensional information of objects or environments.It has the advantages of high measurement efficiency and high measurement accuracy.It has become an indispensable key technology in the fields of reverse engineering,unmanned driving,digital city construction and digital archaeology.This thesis takes the single-line laser scanner as the research object,analyzes and studies the three-dimensional reconstruction method,and designs a set of three-dimensional reconstruction system.The single-line laser scanner is installed on the rotating motion device to continuously scan the object or scene,and then combined with rotation,the angle information performs coordinate transformation on the two-dimensional laser point cloud data to obtain the three-dimensional laser point cloud data,and then completes the further processing of the three-dimensional point cloud to realize the display and reconstruction of the object or scene.The main work of the paper is summarized as follows:First of all,in terms of point cloud data acquisition,this paper proposes a method for acquiring 3D laser point cloud data based on a single-line laser scanner.By designing a set of laser scanner rotary motion device,this paper completes the collection of multiple sets of2 D contour data.Next,based on the linear relationship of motion,a mathematical model for converting 2D data into 3D data is established,and finally the original 3D laser point cloud is displayed through graphical tools.Secondly,in terms of point cloud data processing,after fully analyzing the application scenarios and expandable fields of the 3D reconstruction system,this thesis uses a point cloud classification and sampling algorithm based on unit normal vectors to complete the simplified processing of point cloud data.In terms of noise,the radius filter algorithm is used to remove noise and outliers.Finally,after analyzing the commonly used surface reconstruction algorithms,the delaunay triangulation algorithm is used to reconstruct the surface of the point cloud.Thirdly,in terms of point cloud data acquisition and processing platform design,this paper uses the graphical interface design module of MATLAB software to design a three-dimensional laser point cloud data acquisition and processing platform,which integrates point cloud data acquisition parameter control and point cloud processing algorithms,the post-processing of the point cloud is completed while data collection is achieved,which improves the degree of automation and integration of the platform.Finally,this thesis builds a complete experimental system.Based on the completion of the communication connection between different devices and the simulation and debugging of the control program,the hardware platform and the software platform are combined to complete the 3D reconstruction experiment for the actual object.It can be concluded from the experimental results that the three-dimensional reconstruction system constructed in this paper has completed all the steps from data acquisition to three-dimensional reconstruction,and the reconstruction effect is good,which verifies the feasibility and effectiveness of the method in this paper.