[1]沈长江,吴云东,蔡国榕,等.基于四元约束的多视角建筑物Lidar点云配准方法[J].集美大学学报(自然版),2019,24(5):393-400.
 SHEN Changjiang,WU Yundong,CAI Guorong,et al.Multiple Views Lidar Point Cloud Registration for Buildings Based on Quaternion Constraint[J].Journal of Jimei University,2019,24(5):393-400.
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基于四元约束的多视角建筑物Lidar点云配准方法()
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《集美大学学报(自然版)》[ISSN:1007-7405/CN:35-1186/N]

卷:
第24卷
期数:
2019年第5期
页码:
393-400
栏目:
数理科学与信息工程
出版日期:
2019-09-28

文章信息/Info

Title:
Multiple Views Lidar Point Cloud Registration for Buildings Based on Quaternion Constraint
作者:
沈长江1吴云东24蔡国榕24陈水利34
(1. 集美大学理学院,福建 厦门 361021;2.集美大学计算机工程学院,福建 厦门 361021;3.集美大学诚毅学院,福建 厦门 361021;4.福建省海西政务大数据应用协同创新中心,福建 福州 350003)
Author(s):
SHEN Changjiang1WU Yundong24CAI Guorong24CHEN Shuili34
(1.School of Science,Jimei University,Xiamen 361021,China;2.School of Computer Engineering,Jimei University,Xiamen 361021,China;3.Chengyi University College,Jimei University,Xiamen 361021,China;4.Fujian Collaborative Innovation Center for Big Data Applications in Governments,Fuzhou 350003,China)
关键词:
三维重建ICP算法Lidar点云FPFH特征多视角点云配准
Keywords:
3D reconstructionthe ICP algorithmLidar point cloudFPFH featuremultiple viewspoint cloud registration
文献标志码:
A
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。
Abstract:
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.
更新日期/Last Update: 2019-11-04