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.

引用

页数：4

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