摘要
为了解决PCL(点云库)配置搭建中出现的诸多问题,详细介绍编程库PCL在不同系统平台上的搭建流程,并在配置完成的PCL上调用库函数进行特征点匹配及小范围物体三维重建应用实验,在不同系统平台完成PCL搭建。实验表明,调用库函数并利用SIFT和FLANN算法对图像特征点进行匹配筛选,降低误匹配率,可得到令人满意的初期结果,为后期精确重建打下基础。
In order to solve many problems in PCL(Point Cloud Library)configuration and construction,this paper introduces the process of building PCL on different system platforms in detail.On the configured PCL,the library function is called to carry out matching of feature points and small-scale object 3d reconstruction application experiments.PCL is successfully built on different system platforms.The library function,SIFT and FLANN algorithm are used to match the image feature points,and satisfactory initial results are obtained by reducing the rate of false matching and lay the foundation for accurate reconstruction in the later stage.
作者
姜子鹏
卜凡亮
秦静
JIANG Zi-peng;BU Fan-liang;QIN Jing(School of Information Technology&Network Security,People′s Public SecurityUniversity of China,Beijing 10038,China)
出处
《软件导刊》
2018年第11期123-129,共7页
Software Guide
基金
国家重点研发计划项目(2016YFC0801005)
关键词
PCL
环境搭建
特征点匹配
PCL
environmental construction
feature point matching
