基于激光点云数据的建筑物三维可视化系统
A 3D visualization system for buildings based on laser point cloud data
李翠翠 1李飞 1李瀚源1
作者信息
- 1. 西南交通大学希望学院,成都 610400
- 折叠
摘要
为了获理想的建筑物三维可视化效果,为建筑物测量提供有效技术手段,设计了基于激光点云数据的建筑物三维可视化系统.首先利用激光扫描仪采集建筑物激光点云数据,对建筑物激光点云数据进行冗余去除、畸变补偿和滤波处理,然后对激光点云数据进行坐标转换处理,利用3D Max建模软件建立建筑物三维可视化模型,最后通过实验分析其性能,结果表明:该系统具备较强的兼容性、激光点云数据预处理能力,建筑物三维重构精度超过93％,建筑物三维重构时间控制在4 s以内,具有更高的建筑物三维重构效率.
Abstract
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.
关键词
激光点云/建筑物/三维可视化/DSP采集硬件/通信模块/坐标转换Key words
laser point cloud/building/3D visualization/DSP acquisition hardware/communication module/coordinate transformation引用本文复制引用
基金项目
四川省教育厅项目(JG2021-1542)
成渝地区双城经济圈研究中心项目(CYSC22C008)
出版年
2024
NETL
NSTL
万方数据