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Scientific Programming
Volume 2017, Article ID 1526706, 8 pages
https://doi.org/10.1155/2017/1526706
Research Article

Field Geometric Calibration Method for Line Structured Light Sensor Using Single Circular Target

1School of Electrical Engineering, Henan University of Technology, Zhengzhou, Henan 450001, China
2College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan 450002, China
3Marine Engineering Institute, Jimei University, Xiamen, Fujian 361021, China

Correspondence should be addressed to Tianfei Chen; moc.361@iefnait_nehc

Received 17 October 2017; Accepted 11 December 2017; Published 31 December 2017

Academic Editor: Shangguang Wang

Copyright © 2017 Tianfei Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. H. Bian and K. Liu, “Robustly decoding multiple-line-structured light in temporal Fourier domain for fast and accurate three-dimensional reconstruction,” Optical Engineering, vol. 55, no. 9, Article ID 093110, 2016. View at Publisher · View at Google Scholar · View at Scopus
  2. X. Hui-Yuan, X. You, and Z. Zhi-Jian, “Accurate extrinsic calibration method of a line structured-light sensor based on a standard ball,” IET Image Processing, vol. 5, no. 5, pp. 369–374, 2011. View at Publisher · View at Google Scholar · View at Scopus
  3. D. Wu, T. Chen, and A. Li, “A high precision approach to calibrate a structured light vision sensor in a robot-based three-dimensional measurement system,” Sensors, vol. 16, no. 9, article no. 1388, 2016. View at Publisher · View at Google Scholar · View at Scopus
  4. F. J. Brosed, J. J. Aguilar, D. Guillomïa, and J. Santolaria, “3D geometrical inspection of complex geometry parts using a novel laser triangulation sensor and a robot,” Sensors, vol. 11, no. 1, pp. 90–110, 2011. View at Publisher · View at Google Scholar · View at Scopus
  5. J. Geng, “Structured-light 3D surface imaging: a tutorial,” Advances in Optics and Photonics, vol. 3, no. 2, pp. 128–160, 2011. View at Publisher · View at Google Scholar · View at Scopus
  6. B. Wu, T. Xue, T. Zhang et al., “A novel method for round steel measurement with a multi-line structured light vision sensor,” Measurement Science & Technology, vol. 21, no. 2, pp. 283–293, 2010. View at Google Scholar
  7. R. Dewar, “Self-generated targets for spatial calibration of structured light optical sectioning sensors with respect to an external coordinate system,” in Proceedings of the Robots and Vision’88 Conference, pp. 5–13, 1985.
  8. D. Fajie, L. Fengmei, and Y. Shenghua, “A new accurate method for the calibration of line structured light sensor,” Chinese Journal of Scientific Instrument, vol. 21, no. 1, pp. 108–110, 2000. View at Google Scholar
  9. D. Q. Huynh, R. A. Owens, and P. E. Hartmann, “Calibrating a structured light stripe system: A novel approach,” International Journal of Computer Vision, vol. 33, no. 1, pp. 73–86, 1999. View at Publisher · View at Google Scholar · View at Scopus
  10. Z. Wei, G. Zhang, and Y. Xu, “Calibration approach for structured-light-stripe vision sensor based on the invariance of double cross-ratio,” Optical Engineering, vol. 42, no. 10, pp. 2956–2966, 2003. View at Publisher · View at Google Scholar · View at Scopus
  11. F. Zhou and G. Zhang, “Complete calibration of a structured light stripe vision sensor through planar target of unknown orientations,” Image and Vision Computing, vol. 23, no. 1, pp. 59–67, 2005. View at Publisher · View at Google Scholar · View at Scopus
  12. X. Zexiao, Z. Weitong, Z. Zhiwei, and J. Ming, “A novel approach for the field calibration of line structured-light sensors,” Measurement, vol. 43, no. 2, pp. 190–196, 2010. View at Publisher · View at Google Scholar · View at Scopus
  13. S. Wang, L. Qi, Y. Zhang et al., “Planar-Target-Based Structured Light Calibration Method for Flexible Large-Scale 3D Vision Measurement,” Sensors & Materials, vol. 25, no. 7, pp. 501–508, 2013. View at Google Scholar
  14. L. Xu and Z.-J. Zhang, “Error propagation analysis of structured light system,” Optics and Precision Engineering, vol. 17, no. 2, pp. 306–313, 2009. View at Google Scholar · View at Scopus
  15. T. Chen, J. Zhao, and X. Wu, “New calibration method for line structured light sensor based on planar target,” Acta Optica Sinica, vol. 35, no. 1, pp. 180–188, 2015. View at Publisher · View at Google Scholar · View at Scopus
  16. Z. Wei, L. Cao, and G. Zhang, “A novel 1D target-based calibration method with unknown orientation for structured light vision sensor,” Optics & Laser Technology, vol. 42, no. 4, pp. 570–574, 2010. View at Publisher · View at Google Scholar · View at Scopus
  17. J.-D. Han, N.-G. Lü, M.-L. Dong, and X.-P. Lou, “Fast method to calibrate structure parameters of line structured light vision sensor,” Optics and Precision Engineering, vol. 17, no. 5, pp. 958–963, 2009. View at Google Scholar · View at Scopus
  18. T.-F. Chen, Z. Ma, and X. Wu, “Calibration of light plane in line structured light sensor based on active vision,” Optics and Precision Engineering, vol. 20, no. 2, pp. 256–263, 2012. View at Publisher · View at Google Scholar · View at Scopus
  19. M. Ahmed and A. Farag, “Nonmetric calibration of camera lens distortion: differential methods and robust estimation,” IEEE Transactions on Image Processing, vol. 14, no. 8, pp. 1215–1230, 2005. View at Publisher · View at Google Scholar · View at Scopus
  20. J. G. Semple and G. T. Kneebone, Algebraic projective geometry, Clarendon Press, Oxford, UK, 1952. View at MathSciNet
  21. X. Meng and Z. Hu, “A new easy camera calibration technique based on circular points,” Pattern Recognition, vol. 36, no. 5, pp. 1155–1164, 2003. View at Publisher · View at Google Scholar · View at Scopus
  22. G. Steger, “An unbiased detector of curvilinear structures,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 2, pp. 113–125, 1998. View at Publisher · View at Google Scholar · View at Scopus
  23. H. Fengshan, Study on the Key Technique of Single Camera 3D Coordinate Vision Measurement System Using a Light Pen, Tianjin University, Tian Jin, China, 2005.