摘要
基于建筑物Lidar点云的特点,提出一种基于四元约束的多视角点云配准算法。建筑物Lidar点云的实验结果表明,在复杂和大场景建筑物Lidar点云的多视角配准中,该算法可以得到较好的配准精度。
Based on the characteristics of Lidar point cloud for buildings,this paper proposes a multiple views point cloud registration algorithm based on quaternion constraints.The experimental results of Lidar point cloud in buildings show that the proposed algorithm can achieve better registration accuracy in multiple views registration of Lidar point cloud in complex and large scenes.
作者
沈长江
吴云东
蔡国榕
陈水利
SHEN Changjiang;WU Yundong;CAI Guorong;CHEN Shuili(School of Science,Jimei University,Xiamen 361021,China;School of Computer Engineering,Jimei University,Xiamen 361021,China;Chengyi University College,Jimei University,Xiamen 361021,China;Fujian Collaborative Innovation Center for Big Data Applications in Governments,Fuzhou 350003,China)
出处
《集美大学学报（自然科学版）》
CAS
2019年第5期393-400,共8页
Journal of Jimei University：Natural Science
基金
国家自然科学基金(61702251)
福建省产学合作重大项目(2017H6015)
福建省自然科学基金项目(2016J01310,2016J01309)
关键词
三维重建
ICP算法
LIDAR点云
FPFH特征
多视角
点云配准
3D reconstruction
the ICP algorithm
Lidar point cloud
FPFH feature
multiple views
point cloud registration
