基于激光点云数据的三维运动图像重构技术北大核心CSCD

为了解决三维运动图重构时存在的重构测量距离与实际距离误差大、激光点云数据数量多和重构图像清晰度对比低的问题,提出了基于激光点云数据的三维运动图像重构技术,通过配准多帧激光点云数据,从中获取激光点云数据集,再采用平面拟合方法对激光点云数据集实行去噪处理,最后利用曲面重构法完成对曲面模型的拟合,实现三维运动图像重构。实验结果表明,通过对三维运动图像重构进行测量距离与实际距离的对比、激光点云数据数量的对比和测量图像与实际图像清晰度的对比测试,验证了三维运动图像重构技术的实用性高。

3D moving image reconstruction technology based on laser point cloud data

In order to solve the problems of large error between reconstruction measurement distance and actual distance,large amount of laser point cloud data and low contrast of reconstruction image clarity in 3D motion image reconstruction,a 3D motion image reconstruction technology based on laser point cloud data is proposed.The laser point cloud data set is obtained by registering multiple frames of laser point cloud data,then the plane fitting method is used to denoise the laser point cloud data set.Finally,the surface reconstruction method is used to fit the surface model and realize the three dimensional moving image reconstruction.The experimental results show that the high practicability of 3D moving image reconstruction technology is verified by comparing the measured distance with the actual distance,comparing the number of laser point cloud data and comparing the sharpness of measured image with the actual image by testing the 3D motion image reconstruction.