A four-camera videogrammetric system for 3-D motion measurement of deformable object

A four-camera videogrammetric system with large field-of-view is proposed for 3-D motion measurement of deformable object. Four high-speed commercial-grade cameras are used for image acquisition. Based on close-range photogrammetry, an accurate calibration method is proposed and verified for calibra...

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Veröffentlicht in:Optics and lasers in engineering 2012-05, Vol.50 (5), p.800-811
Hauptverfasser: Hu, Hao, Liang, Jin, Xiao, Zhen-zhong, Tang, Zheng-zong, Asundi, Anand K., Wang, Yong-xin
Format: Artikel
Sprache:eng
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Zusammenfassung:A four-camera videogrammetric system with large field-of-view is proposed for 3-D motion measurement of deformable object. Four high-speed commercial-grade cameras are used for image acquisition. Based on close-range photogrammetry, an accurate calibration method is proposed and verified for calibrating the four cameras simultaneously, where a cross target as calibration patterns with feature points pasted on its two-sides is used. The key issues of the videogrammetric processes including feature point recognition and matching, 3-D coordinate and displacement reconstruction, and motion parameters calculation are discussed in detail. Camera calibration experiment indicates that the proposed calibration method, with a re-projection error less than 0.05pixels, has a considerable accuracy. Accuracy evaluation experiments prove that the accuracy of the proposed system is up to 0.5mm on length dynamic measurement within 5000mm×5000mm field-of-view. Motion measurement experiment on an automobile tire is conducted to validate performance of our system. The experimental results show that the proposed four-camera videogrammetric system is available and reliable for position, trajectory, displacement and speed measurement of deformable moving object. ► A four-camera videogrammetric system is proposed and implemented. ► The novelty of our system is the implementation of a four-camera calibration method. ► The key issues of the videogrammetric process including feature point recognition and matching, 3-D coordinate. ► And displacement reconstruction and motion parameters calculation are discussed in detail. ► Experimental results show the proposed calibration way has a large accuracy with a re-projection error less than 0.05pixels.
ISSN:0143-8166
1873-0302
DOI:10.1016/j.optlaseng.2011.12.011