激光三维图像高精度快速重建方法设计与研究
High precision and fast reconstruction of laser 3D images using ant colony algorithm
于铭汐 1田莹1
作者信息
- 1. 辽宁科技大学计算机与软件工程学院,辽宁鞍山 114000
- 折叠
摘要
当前激光三维图像重建方法存在效率低,时间长等缺陷,为了获得更理想的激光三维图像重建效果,提出了一种新型激光三维图像高精度快速重建方法.该方法利用非线性改进方法计算3D摄像机位置和空间坐标点,并使其误差分布均匀.同时,利用稀疏矩阵方法自动检测激光点云,去除噪声和障碍物,优化点云数据,从而得到更准确的激光三维图像.采用差分逼近策略计算激光三维图像的一阶偏导数,初步确定图像中的大致边缘位置.通过蚁群算法提取三维图像的边缘特征,计算激光三维图像边缘特征的重建坐标点,最终实现了激光三维图像的重建.实验结果表明:本方法可以高精度提取激光三维图像边缘轮廓,重建精度为97％,重建时间为35 ms.
Abstract
At present,the laser 3D image reconstruction method has some defects,such as low efficiency and long time.In order to obtain a better effect of laser 3D image reconstruction,a new high-precision and fast reconstruction method of laser 3D image is proposed.This method uses nonlinear improved method to calculate the position and spa-tial coordinate points of 3D camera,and makes its error distribution uniform.At the same time,the sparse matrix method is used to automatically detect the laser point cloud,remove noise and obstacles,and optimize the point cloud data,so as to get a more accurate laser three-dimensional image.The first-order partial derivative of laser three-di-mensional image is calculated by differential approximation strategy,and the approximate edge position in the image is preliminarily determined.The edge features of three-dimensional images are extracted by ant colony algorithm,and the reconstruction coordinate points of edge features of three-dimensional laser images are calculated.Finally,the re-construction of three-dimensional laser images is realized.The experimental results show that this method can extract the edge contour of laser 3D image with high accuracy,and the reconstruction accuracy is ninety-seven percent,and the reconstruction time is 35 ms.
关键词
激光三维图像/边缘特征/重建精度/性能测试Key words
laser 3D images/edge features/reconstruction accuracy/performance testing引用本文复制引用
基金项目
辽宁省自然科学基金面上项目(2020-MS-281)
出版年
2024
NETL
NSTL
万方数据