摘要
传统室内环境设计图像重建结果缺乏立体性和直观性,为了获得更优的室内环境设计图像重建结果,提出基于激光三维虚拟技术的室内环境设计图像重建方法。该方法首先结合三维激光扫描仪和移动机器人搭建采集装置,采集室内图像的点云数据,然后对采集到的点云数据进行预处理,包括稀疏离群点剔除、点云数据简化、点云配准三个方面,最后利用Delaunay三角化方法重构室内环境三维立体图像,并通过虚拟现实工具OpenGL显示出来。结果表明:本方法应用下,不仅很好地完成了图像重建任务,且与前人研究的四种重建方法相比,点云配准度更高,达到98.66%,耗时较短,为1.09 s,证明了所研究重建方法的质量更好。
The common indoor environment design images are mostly two-dimensional plane images,which lack of stereoscopic and intuitive,so how to restore three-dimensional indoor scenes from two-dimensional images has become the focus of research. Therefore,a method of image reconstruction of indoor environment design based on Laser 3 D virtual technology is studied. Firstly,the point cloud data of indoor image is collected by combining 3 D laser scanner and mobile robot. Then,the collected point cloud data are processed,including sparse outlier point elimination,point cloud data simplification and point cloud registration. Finally,the Delaunay triangulation method is used to reconstruct the indoor environment 3 D image,and the virtual reality tool OP is used. The Engl is displayed. The results show that with the application of this method,not only the image reconstruction task is well completed,but also the point cloud registration degree is higher,reaching 98. 66%,and the time consumption is shorter,which is 1. 09 s,which proves that the quality of the studied reconstruction method is better.
作者
李婧
韩贤权
LI Jing;HAN Xianquan(Wuhan University of Engineering Science,Wuhan 430070,China;Wuhan University,Wuhan 430070,China)
出处
《激光杂志》
CAS
北大核心
2021年第9期124-128,共5页
Laser Journal
基金
中央级公益性科研院所基本科研资助项目(No.cksf2015020/Gc)。