IJAT Vol.8 No.3 pp. 484-489
doi: 10.20965/ijat.2014.p0484


3-Step-Calibration of 3D Vision Measurement System Based-on Structured Light

Rui-Yin Tang*1, Zhou-Mo Zeng*2, Chang-Ku Sun*2,
and Peng Wang*2

*1College of Electrical Engineering, Hebei United University, 46 Xinhua Road, Tangshan, 063009, China

*2State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 92 Weijin Road, Nankai District, Tianjin, 300072, P.R.China

September 17, 2013
February 18, 2014
May 5, 2014
structured light sensor, camera calibration, light plane pose, movement pose, planeness measurement

In structured light 3D vision measurement system, calibration tasks are key steps. Aiming at a special application of line structured light measurement, namely computer hard-disk surface planeness measurement at a precision equipment manufacturing company in Singapore, and combining with the structured light measurement model, determined three calibration tasks of the system. The three calibrating tasks concluded: calibrating the camera parameters; calibrating the light plane pose and calibrating the movement pose. At the same time, according to the three calibration results, measured the computer hard disk, and reconstructed the 3D model of the computer hard disk. The experimental results show that, the whole system of three calibration process is simple and reliable, the method does not need any auxiliary adjustment and realize the measurement accuracy about 0.023 mm. The work laid the better foundation for hard disk planeness vision measurement.

Cite this article as:
R. Tang, Z. Zeng, C. Sun, and <. Wang, “3-Step-Calibration of 3D Vision Measurement System Based-on Structured Light,” Int. J. Automation Technol., Vol.8, No.3, pp. 484-489, 2014.
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Last updated on Nov. 08, 2019