NDLI: Automatic Registration of Terrestrial Laser Scanning Data Using Precisely Located Artificial Planar Targets

Content Provider	IEEE Xplore Digital Library
Author	Yu-Bin Liang Qing-Ming Zhan Er-Zhuo Che Ming-Wen Chen Dong-Liang Zhang
Copyright Year	2004
Abstract	Registration of terrestrial laser scanning data is an important and labor-intensive task for large surveying and mapping projects. Artificial targets are commonly used for accurate and robust registration of point clouds in practice. A methodology for automatic registration of terrestrial point clouds using artificial planar targets is presented. An intensity-domain orthographic image is presented and used to locate targets by detecting rotational symmetric patterns. The adjustment procedure is exploited for precise localization of the detected targets. Invariant of Euclidean transformation is used for matching located targets. The presented methodology enables precise localization of artificial planar targets in laser scans and determination of correspondence for accurate point cloud registration. The robustness and effectiveness of the methodology is demonstrated by experimental results. Potential applications of the presented techniques include registration of image with point cloud and 3-D object indexing.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	69
Ending Page	73
Page Count	5
File Size	1046014
File Format	PDF
ISSN	1545598X
Volume Number	11
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lasers Feature extraction Transmission line matrix methods Vectors Shape Remote sensing Educational institutions terrestrial laser scanning (TLS) Artificial planar target orthographic projection point cloud registration principal component analysis (PCA) rotational symmetric pattern
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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