NDLI: Street view cross-sourced point cloud matching and registration

Content Provider	IEEE Xplore Digital Library
Author	Peng, Furong Wu, Qiang Fan, Lixin Zhang, Jian You, Yu Lu, Jianfeng Yang, Jing-Yu
Copyright Year	2014
Description	Author affiliation: School of Computer Science and Engineering, Nanjing University of Science and Technology, China (Peng, Furong; Lu, Jianfeng; Yang, Jing-Yu) \|\| Nokia Research Center, Tampere, Finland (Fan, Lixin; You, Yu) \|\| Faculty of Engineering and Information Technology, University of Technology, Sydney (Wu, Qiang; Zhang, Jian)
Abstract	Object registration has been widely discussed with the development of various range sensing technologies. In most work, however, the point clouds of reference and target are generated by the same technology, such as a Kinect range camera, LiDAR sensor, or Structure from Motion technique. Cases in which reference and target point clouds are generated by different technologies are rarely discussed. Due to the significant differences across various point cloud data in terms of point cloud density, sensing noise, scale, occlusion etc., object registration between such different point clouds becomes extremely difficult. In this study, we address for the first time an even more challenging case in which the differently-sourced point clouds are acquired from a real street view. One is generated on the basis of an image sequence through the SfM process, and the other is produced directly by the Li-DAR system. We propose a two-stage matching and registration algorithm to achieve object registration between these two different point clouds. The experiments are based on real building object point cloud data and demonstrate the effectiveness and efficiency of the proposed solution. The newly proposed solution can be further developed to contribute to several related applications, such as Location Based Service.
Starting Page	2026
Ending Page	2030
File Size	685454
Page Count	5
File Format	PDF
ISBN	9781479957514
DOI	10.1109/ICIP.2014.7025406
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Laser radar Iterative closest point algorithm Shape Accuracy Sensors Educational institutions SfM Point clouds Cross-source Registration LiDAR
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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