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The Scientific World Journal
Volume 2014, Article ID 185269, 10 pages
http://dx.doi.org/10.1155/2014/185269
Research Article

Automatic Three-Dimensional Measurement of Large-Scale Structure Based on Vision Metrology

1College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China
2Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation, National University of Defense Technology, Changsha 410073, China

Received 8 November 2013; Accepted 31 December 2013; Published 17 February 2014

Academic Editors: Y. Fu and G. Pedrini

Copyright © 2014 Zhaokun Zhu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

All relevant key techniques involved in photogrammetric vision metrology for fully automatic 3D measurement of large-scale structure are studied. A new kind of coded target consisting of circular retroreflective discs is designed, and corresponding detection and recognition algorithms based on blob detection and clustering are presented. Then a three-stage strategy starting with view clustering is proposed to achieve automatic network orientation. As for matching of noncoded targets, the concept of matching path is proposed, and matches for each noncoded target are found by determination of the optimal matching path, based on a novel voting strategy, among all possible ones. Experiments on a fixed keel of airship have been conducted to verify the effectiveness and measuring accuracy of the proposed methods.