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Proceedings Paper

Large bulk-yard 3D measurement based on videogrammetry and projected contour aiding
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Paper Abstract

Fast and accurate 3D measurement of large stack-yard is important job in bulk load-and-unload and logistics management. Stack-yard holds its special characteristics as: complex and irregular shape, single surface texture and low material reflectivity, thus its 3D measurement is quite difficult to be realized by traditional non-contacting methods, such as LiDAR(LIght Detecting And Ranging) and photogrammetry. Light-section is good at the measurement of small bulk-flow but not suitable for large-scale bulk-yard yet. In the paper, an improved method based on stereo cameras and laser-line projector is proposed. The due theoretical model is composed from such three key points: corresponding point of contour edge matching in stereo imagery based on gradient and epipolar-line constraint, 3D point-set calculating for stereo imagery projected-contour edge with least square adjustment and forward intersection, then the projected 3D-contour reconstructed by RANSAC(RANdom SAmpling Consensus) and contour spatial features from 3D point-set of single contour edge. In this way, stack-yard surface can be scanned easily by the laser-line projector, and certain region's 3D shape can be reconstructed automatically by stereo cameras on an observing position. Experiment proved the proposed method is effective for bulk-yard 3D measurement in fast, automatic, reliable and accurate way.

Paper Details

Date Published: 21 June 2011
PDF: 11 pages
Proc. SPIE 8085, Videometrics, Range Imaging, and Applications XI, 80850X (21 June 2011); doi: 10.1117/12.888665
Show Author Affiliations
Jianliang Ou, National Univ. of Defense Technology (China)
Hunan Key Lab. of Videometrics and Vision Navigation (China)
Xiaohu Zhang, National Univ. of Defense Technology (China)
Hunan Key Lab. of Videometrics and Vision Navigation (China)
Yun Yuan, National Univ. of Defense Technology (China)
Hunan Key Lab. of Videometrics and Vision Navigation (China)
Xianwei Zhu, National Univ. of Defense Technology (China)
Hunan Key Lab. of Videometrics and Vision Navigation (China)


Published in SPIE Proceedings Vol. 8085:
Videometrics, Range Imaging, and Applications XI
Fabio Remondino; Mark R. Shortis, Editor(s)

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