Automatic three-dimensional measurement of large-scale structure based on vision metrology.
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.
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China ; Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation, National University of Defense Technology, Changsha 410073, China.
Zhaokun
Z
Zhu
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China ; Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation, National University of Defense Technology, Changsha 410073, China.
Banglei
B
Guan
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China ; Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation, National University of Defense Technology, Changsha 410073, China.
Xiaohu
X
Zhang
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China.
Daokui
D
Li
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China ; Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation, National University of Defense Technology, Changsha 410073, China.
Qifeng
Q
Yu
D057205:Automation, Laboratory / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D010775:Photic Stimulation / Q000379:methods*; D010780:Photogrammetry / Q000379:methods*; D014785:Vision, Ocular