AUTOMATIC MARKERLESS REGISTRATION OF MOBILE LIDAR POINT-CLOUDS

被引：1
|
作者：
Lu, Min [1 ]
Guo, Yulan [1 ]
Zhang, Jun [1 ]
Wan, Jianwei [1 ]
Li, Jonathan
机构：
[1] Natl Univ Def Technol, Coll Elect Sci & Engn, Changsha 410073, Hunan, Peoples R China
来源：
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年
关键词：
Point-cloud registration; LiDAR; local feature; geometric consistency; image registration; laser scanner; MATCHING ALGORITHM; RECOGNITION;
D O I：
10.1109/IGARSS.2014.6946384
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Point-cloud registration plays a significant role in the area of mobile LiDAR data processing. This paper proposes an automatic markerless registration algorithm for lidar point-clouds. It first introduces a local feature for point-cloud representation. The feature is invariant to rotations and translations of a point-cloud. It then presents a point-cloud registration method using geometric consistency check and the Iterative Closest Points (ICP) algorithm. Comparative experiments were performed on a publicly available dataset. Experimental results show that our algorithm is very accurate and outperforms the spin image and SHOT based algorithms.
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页数：4
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