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Journal of Electronic Imaging

Computationally efficient approach to three-dimensional point cloud reconstruction from video image sequences
Author(s): Chih-Hsiang Chang; Nasser Kehtarnavaz
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Paper Abstract

This paper presents a computationally efficient solution to three-dimensional point cloud reconstruction from video image sequences that are captured by a hand-held camera. Our solution starts with a frame selection step to remove frames that cause physically nonrealizable reconstruction outcomes. Then, a computationally efficient approach for obtaining the absolute camera pose is introduced based on pairwise relative camera poses. This is followed by a computationally efficient rotation registration to update the absolute camera pose. The reconstruction results obtained based on actual video sequences indicate lower computation times and lower reprojection errors of the introduced approach compared to the conventional approach.

Paper Details

Date Published: 27 June 2014
PDF: 10 pages
J. Electron. Imaging. 23(3) 033020 doi: 10.1117/1.JEI.23.3.033020
Published in: Journal of Electronic Imaging Volume 23, Issue 3
Show Author Affiliations
Chih-Hsiang Chang, The Univ. of Texas at Dallas (United States)
Nasser Kehtarnavaz, The Univ. of Texas at Dallas (United States)


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