摘要
点云数据的特征提取是逆向工程领域中的一项重要研究内容,为几何分析、数据分割、曲线匹配和拼接、曲面重建等几何处理提供依据,对后期精确的点云配准、模型重建等研究起关键作用。重点研究分析了基于法向量、曲率点特征直方图PFH和快速点特征直方图FPFH等不同点云特征描述参数的点云特征提取技术,为后续的研究和改进形成新的设计思路提供参考。
Feature extraction of point cloud data is an important research content in the field of reverse engineering.It provides basis for geometric analysis,data segmentation,curve matching,splicing,surface reconstruction and other geometric processing.Research plays a key role for precise point cloud registration,model reconstruction,etc.Research mainly focus on normal vector,curvature point feature histogram PFH and fast point feature histogram FPFH,which provides reference for subsequent research and improvement to form new design ideas.
作者
周建钊
颜雨吉
ZHOU Jian-zhao;YAN Yu-ji(College of Field Engineering,The Army Engineering University of PLA,Nanjing Jiangsu 210007,China)
出处
《装备制造技术》
2019年第8期13-17,33,共6页
Equipment Manufacturing Technology
关键词
逆向工程
散乱点云
点云特征描述参数
特征提取
reverse engineering
scattered point cloud
point descriptor
point cloud feature extractio