Abstract
The measurement accuracy of the traditional line laser scanning method is affected by many factors, such as calibration accuracy of the light plane, the detection accuracy of the stripe center, the positioning accuracy of the motion scanning module, etc., resulting in the operation of this method is complex and the precision is not high. In this paper, a line laser binocular stereo vision system is constructed. Because of the binocular stereo vision, it is not necessary to calibrate the light plane and the angle information of the laser rotation has no effect on the measurement accuracy, which avoids the high precision positioning requirement of the motion control module in the traditional line laser scanning method. In order to increase the precision of the stripe center detection, a coarse-to-fine matching algorithm is proposed. First, the extreme pixel of each row is computed in the left image and right image as the rough extraction point for laser stripes center. Second, the foreground and background are extracted and the searching range is limited in a small zone. Third, sub-pixel matching is adopted to refine the laser stripe center correspondence. The proposed method is confirmed in the simulation and experiment. The simulation results show that the RMS of laser stripe center error is less than 0.03 pixel, when the image noise level is less than 7. The three-dimensional measurement experiment shows that when the measurement distance is 1400 mm, the reconstruction precision is as high as 0.314 mm.
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References
Zheng J, Guan H, Yi W et al (2012) 3D reconstruction of small-sized cultural relics based on laser scanning and close-range photogrammetry. Int J Digital Content Technol Appl 6(12):196–205
Fu XB, Han JX, Zhang YC et al (2015) Using a line laser to achieve the non-contact dimension measurement of a large thermal forging. Lasers Eng 31(3):237–248
Wei H (2008) Research on three-dimensional scanning technology with a single-line laser. Tianjin University
Pages J, Salvi J, Garcia R et al (2003) Overview of coded light projection techniques for automatic 3D profiling[C]//IEEE International Conference on Robotics and Automation, 2003. In: Proceedings ICRA, vol 1. IEEE, pp 133–138
Xi F, Shu C (1999) CAD-based path planning for 3-D line laser scanning. Comput Aided Des 31(7):473–479
Qiu Z, Chen H, Hu W (2013) Embedded angle vision inspection and error compensation for line structured lights. Opt Precision Eng 21(10):2480–2487
Duan F (2000) A new accurate method for the calibration of line structured light sensor. Chin J Sci Instrum 21:108–113
Zhou F (2004) Field calibration method for line structured light vision sensor. J Mech Eng 40(6):169–173
Wang P (2008) Study on key techniques for automatic 3D structured-light scanning system. Tianjin University
Hu Z, Wang Y, Yang J et al (2010) A novel calibration method for three-dimensional modeling system used in virtual maintenance. In: International conference on advanced computer control. IEEE, pp 301–303
Chen T, Zhao J, Wu X (2015) New calibration method for line structured light sensor based on planar target. Acta Optica Sinica 35(1):1–9
Lei H, Li D, Wang J et al (2003) A method for fast detecting the center of structured light stripe. J Huazhong Univ Sci Technol (Nat Sci Ed) 31(1):74–76
Hu K, Zhou F (2005) A fast extraction method for sub-pixel center of structured light stripe. Electro-Opt Technol Appl 20(6):60–63
Li Z, Wang C, Shi Y (2008) An algorithm for detecting center of structured light stripe combining gradient sharpening with barycenter method. J Image Graph 13(1):64–68
Zhu X, Gao Z (2003) Theoretic research on double-CCD stereoscopic system. Opt Technol 29(3):298–300
Xu Y, Zhou J, Zhou Y (2003) On stereo matching technology. Comput Eng Appl 39(15):1–5
Psarakis EZ, Evangelidis GD (2005) An enhanced correlation-based method for stereo correspondence with subpixel accuracy. In: Tenth IEEE international conference on computer vision, vol 1. IEEE, pp 907–912
Sun QC, Hou YQ, Tan QC et al (2014) A fast and robust detection algorithm for extraction of the centre of a structured light stripe
Sun Q, Hou Y, Tan Q et al (2014) A robust edge detection method with sub-pixel accuracy. Optik-Int J Light Electron Opt 125(14):3449–3453
Usamentiaga R, Molleda J, García DF (2012) Fast and robust laser stripe extraction for 3D reconstruction in industrial environments. Mach Vis Appl 23(1):179–196
Hanebeck UD (2009) Template matching using fast normalized cross correlation. In: Aerospace/defense sensing, simulation, and controls. International Society for Optics and Photonics, pp 95–102
Acknowledgements
This research was partially supported by the National Nature Science Foundation of China (Grant No. 51575332 and No. 61673252) and The key research project of Ministry of science and technology (Grant No. 2016YFC0302401).
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Zhuang, L., Zhang, X., Zhou, W. (2018). A Coarse-to-Fine Matching Method in the Line Laser Scanning System. In: Wang, K., Wang, Y., Strandhagen, J., Yu, T. (eds) Advanced Manufacturing and Automation VII. IWAMA 2017. Lecture Notes in Electrical Engineering, vol 451. Springer, Singapore. https://doi.org/10.1007/978-981-10-5768-7_3
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DOI: https://doi.org/10.1007/978-981-10-5768-7_3
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