摘要
点云(point cloud)为三维空间坐标系下的离散点集,是一种重要的几何数据,能有效表示物体表面信息。随着三维激光扫描技术的快速发展和普及,三维点云的采集变得更加简单便捷。点云分类,即为每个点分配一个语义标记。此外,点云分类作为三维数据处理的关键环节,在三维重建,数字化建模,文物保护等方面具有广泛的应用价值。此次调研围绕不同三维激光扫描点云在数据采集,特征提取这两方面主要工作,展示了点云分类方法的研究现状,并对该领域未来发展趋势进行总结展望。
Point cloud is a set of discrete points in three-dimensional space coordinate system.It’s an important geometric data that can effectively represent the surface information of an object.With the rapid development and popularization of 3D laser scanning technology,the acquisition of 3D point cloud becomes simpler and more convenient.Point cloud classification,is that assign a semantic label to each point.In addition,as a key link of 3D data processing,point cloud classification has wide application value in 3D reconstruction,digital modeling and cultural relic protection.The survey briefly introduces the classification methods based on point cloud in two aspects:capturing,feature extraction.Finally,it presented some future perspectives.
作者
钱婷
王蕾
李宝山
QIAN Ting;WANG Lei;LI Bao-shan(School of Information Engineering,East China Institute of Technology,Nanchang 330013,China)
出处
《电脑与信息技术》
2019年第1期22-25,共4页
Computer and Information Technology
基金
国家自然科学基金(项目编号:61561003
61761003)
关键词
激光扫描
三维点云数据
数据采集
特征提取
分类方法
laser scanning
3D point cloud
data capturing
feature extraction
classification method
