3D Measurement Method Based on Binocular Vision and Linear Structured Light

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Abstract:

To improve efficiency of industry inspection, measuring method of part shape which combines laser linear scanning and binocular vision is researched. In the system, two cameras are located at certain angle, and linear structured light is projected onto the part surface to produce distorted laser light stripe, which is used as measure feature curve. Ordinary planar plate is used as the calibration template in system calibration and images of serial parallel lines bundle are displayed on it which are acquired simultaneously by the camera to produce image series. Calibration parameters are divided into several parts, so as to calibration of them so that interference between different parts can be eliminated significantly. Based on above works, system calibration and reconstruction of 3D coordinate are implemented successfully. Experimental result shows our method’s feasibility and effectiveness, thus good prospect can be expected to it.

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17-23

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December 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Salvi J., Armangu N. E., Batlle J. A comparative review of camera calibrating methods with accuracy evaluation[J]. Pattern Recognition, 2005,25(11):1617~1635.

DOI: 10.1016/s0031-3203(01)00126-1

Google Scholar

[2] Sansoni G., Docchio F.. 3D Optical Measurements in the Field of Cultural Heritage:The Case of the Vittoria Alata of Brescia[J]. IEEE Transactions on Instrumentation and Measurement, 2005, 54(1): 359~368.

DOI: 10.1109/tim.2004.838915

Google Scholar

[3] Zhang Z. Y., Liu Z. C., Adler D., et al. Robust and Rapid Generation of Animated Faces from Video Images: A Model-Based Modeling Approach[J]. International Journal of Computer Vision, 2004,58(2):93~119.

DOI: 10.1023/b:visi.0000015915.50080.85

Google Scholar

[4] Ayubi G. A., J. Martino M. D., Alonso J. R., et al.. Three-dimensional profiling with binary fringes using phase-shifting interferometry algorithms[J]. Applied Optics, 2011, 50(2): 147~154.

DOI: 10.1364/ao.50.000147

Google Scholar

[5] Zhu S. P., Gao Y.. Noncontact 3-D coordinate measurement of cross-cutting feature points on the surface of a large-scale workpiece based on the machine vision method[J]. IEEE Transactions on Instrumentation and Measurement. 2010, 59(7): 1874~1887.

DOI: 10.1109/tim.2009.2030875

Google Scholar

[6] Zhang Z. Y. A flexible new technique for camera calibration [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(11):1330~1334.

DOI: 10.1109/34.888718

Google Scholar

[7] Hu Q. Y., Huang P. S., Fu Q. L., et al.. Calibration of a three-dimensional shape measurement system[J]. Optical Engineering, 2003, 42(2): 487~493.

Google Scholar

[8] Qu X. J., Zhang L., Meng B., et al.. A new camera calibration method based on two stages distortion model[C]. 2010 International Conference of Information Science and Management Engineering, 2010, 8(2): 125~129.

DOI: 10.1109/isme.2010.64

Google Scholar

[9] Sun J. H., Zhang G. J., Wei Z. Z., et al.. Large 3D-free surface measurement using a mobile coded light-based stereovision system.Sensors and Actuators A, 2006,132(2):460~471.

DOI: 10.1016/j.sna.2006.02.048

Google Scholar