摘要
建筑物长期处在外界环境中,经过风吹日晒或者外力攻击,建筑物会老化破损,其虚拟修复过程中采集的点云数据噪点较多,冗余数据过多,虚拟修复效果差,为此本文提出点云数据重采样下的破损建筑虚拟重建与修复方法。采集建筑物点云数据,开展点云数据重采样,在排除其中无用数据后,融合和匹配重采样的点云数据,生成建筑物三维立体模型,构建点云数据的双边滤波全因子,小尺度修复破损位置,实现破损建筑虚拟重建与修复。实验结果表明,本文所提方法的修复效果好,修复平均耗时为36.69 s。
The buildings are in the external environment for a long time.After being exposed to the wind and the sun or being attacked by external forces,the buildings will be aged and damaged.The point cloud data collected in the virtual repair process is noisy,redundant,and the virtual repair effect is poor.Therefore,a virtual reconstruction and repair method for damaged buildings under point cloud data resampling is proposed.Collect building point cloud data,conduct point cloud data resampling,after eliminating useless data,fuse and match the resampled point cloud data,generate a three⁃dimensional building model,build a bilateral filtering full factor of point cloud data,repair the damaged location at a small scale,and achieve virtual reconstruction and repair of damaged buildings.The experimental results show that the repair effect of the proposed method is good,and the average repair time is 36.69 s.
作者
张湘
韩少腾
Zhang Xiang;Han Shaoteng(Hebei Yatai Architecture Design And Research Co.,Ltd.,Handan 056002,Hebei,China)
出处
《科技通报》
2023年第10期23-26,共4页
Bulletin of Science and Technology
关键词
三维激光扫描
数据采集
数据去噪
融合点云数据
虚拟重建
3D laser scanning
data acquisition
data denoising
fusion point cloud data
virtual reconstruction
