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Journal of Electronic Imaging

Coarse automated registration of visual imagery with three-dimensional light detection and ranging models
Author(s): Prakash Duraisamy; Kamesh Namuduri; Stephen Jackson; Bill P. Buckles
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Paper Abstract

An automated, fast, robust registration of visual images with three-dimensional data generated from light detection and ranging (LiDAR) sensor is described. The method is intended to provide a coarse registration of the images, suitable for input into other algorithms or where only a rough registration is required. Our approach consists of two steps. In the first step, two-dimensional lines are extracted as features from both the visual and the LiDAR data. In the second step, a novel and efficient search is performed to recover the external camera parameters, and thus the camera matrix (as a calibrated camera is assumed). An error metric involving line matchings is used to guide the search. We demonstrate the performance of our algorithm on both synthetic and real-world data.

Paper Details

Date Published: 26 September 2013
PDF: 10 pages
J. Electron. Imag. 22(3) 033035 doi: 10.1117/1.JEI.22.3.033035
Published in: Journal of Electronic Imaging Volume 22, Issue 3
Show Author Affiliations
Prakash Duraisamy, Old Dominion Univ. (United States)
Kamesh Namuduri, Univ. of North Texas (United States)
Stephen Jackson, Univ. of North Texas (United States)
Bill P. Buckles, Univ. of North Texas (United States)

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