摘要
随着三维扫描技术的不断提高以及国内对于开源PCL(Point Cloud Library)库不断深入的研究,三维点云分割技术被学者们应用到逆向工程CAD/CAM、激光遥感等领域中。三维点云的有效分割是许多应用的前提,本文利用PCL点云库实现点云的区域生长算法分割。该方法首先依据点云的曲率值对点云进行排序,选取曲率值最小的点为种子点,从最平坦的区域依据区域生长准则进行区域生长。实验结果表明,该方法分割稳定性好、精度较高。
With the continuous improvement of 3d scanning technology and the deepening research of open source PCL(Point Cloud Library)in China,3d Point Cloud segmentation technology has been applied to reverse engineering CAD/CAM,laser remote sensing and other fields by scholars.The efficient segmentation of three-dimensional point cloud is the premise of many applications.In this paper,PCL point cloud library is used to realize the segmentation of point cloud region growth algorithm.In this method,the point cloud is first sorted according to the curvature value of the point cloud,and the point with the smallest curvature value is selected as the seed point,and the region growth is carried out from the most flat region according to the regional growth criterion.The experimental results show that the method is stable and accurate.
作者
彭丽君
陆玲
舒丽君
PENG Li-jun;LU Ling;SHU Li-jun(Institute of Information Engineering,East China University of Technology,NanChang JiangXi 330013,china)
出处
《电脑与信息技术》
2020年第3期17-19,共3页
Computer and Information Technology
关键词
区域生长
三维点云
点云分割
PCL
regional growth
Three-dimensional point cloud
Point cloud segmentation
PCL
