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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 51, Iss. 13 — May. 1, 2012
  • pp: 2419–2428

Flexible structured-light-based three-dimensional profile reconstruction method considering lens projection-imaging distortion

Suodong Ma, Rihong Zhu, Chenggen Quan, Lei Chen, Cho Jui Tay, and Bo Li  »View Author Affiliations


Applied Optics, Vol. 51, Issue 13, pp. 2419-2428 (2012)
http://dx.doi.org/10.1364/AO.51.002419


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Abstract

Structured-light profilometry is a powerful tool to reconstruct the three-dimensional (3D) profile of an object. Accurate profile acquisition is often hindered by not only the nonlinear response (i.e., gamma effect) of electronic devices but also the projection-imaging distortion of lens used in the system. In this paper, a flexible 3D profile reconstruction method based on a nonlinear iterative optimization is proposed to correct the errors caused by the lens distortion. It can be easily extended to measurements for which a more complex projection-imaging distortion model is required. Experimental work shows that the root-mean-square (RMS) error is reduced by eight times and highly accurate results with errors of less than 1‰ can be achieved by the proposed method.

© 2012 Optical Society of America

OCIS Codes
(120.2830) Instrumentation, measurement, and metrology : Height measurements
(120.3940) Instrumentation, measurement, and metrology : Metrology
(120.4290) Instrumentation, measurement, and metrology : Nondestructive testing
(150.6910) Machine vision : Three-dimensional sensing

ToC Category:
Instrumentation, Measurement, and Metrology

History
Original Manuscript: December 8, 2011
Revised Manuscript: January 25, 2012
Manuscript Accepted: February 13, 2012
Published: May 1, 2012

Citation
Suodong Ma, Rihong Zhu, Chenggen Quan, Lei Chen, Cho Jui Tay, and Bo Li, "Flexible structured-light-based three-dimensional profile reconstruction method considering lens projection-imaging distortion," Appl. Opt. 51, 2419-2428 (2012)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-51-13-2419


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References

  1. F. Chen, G. M. Brown, and M. Song, “Overview of three-dimensional shape measurement using optical methods,” Opt. Eng. 39, 10–22 (2000). [CrossRef]
  2. M. Takeda and K. Mutoh, “Fourier transform profilometry for the automatic measurement of 3-D object shapes,” Appl. Opt. 22, 3977–3982 (1983). [CrossRef]
  3. S. Ma, R. Zhu, J. Li, Z. Gao, H. Luo, H. Wang, and X. Shan, “A multi-view measurement system for three-dimensional surface distribution of transient moving target,” Chin. J. Lasers 37, 3091–3097 (2010) (in Chinese). [CrossRef]
  4. S. Zhang, “Recent processes on real-time 3D shape measurement using digital fringe projection techniques,” Opt. Lasers Eng. 48, 149–158 (2010). [CrossRef]
  5. S. Gorthi and P. Rastogi, “Fringe projection techniques: Whither we are?” Opt. Lasers Eng. 48, 133–140 (2010). [CrossRef]
  6. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd ed. (Cambridge University, 2004).
  7. C. Quan, W. Chen, and C. J. Tay, “Phase-retrieval techniques in fringe-projection profilometry,” Opt. Lasers Eng. 48, 235–243 (2010). [CrossRef]
  8. S. Zhang and S. Yau, “Generic nonsinusoidal phase error correction for three-dimensional shape measurement using a digital video projector,” Appl. Opt. 46, 36–43 (2007). [CrossRef]
  9. Y. Xu, L. Ekstrand, J. Dai, and S. Zhang, “Phase error compensation for three-dimensional shape measurement with projector defocusing,” Appl. Opt. 50, 2572–2581 (2011). [CrossRef]
  10. H. Guo, H. He, and M. Chen, “Gamma correction for digital fringe projection profilometry,” Appl. Opt. 43, 2906–2914 (2004). [CrossRef]
  11. T. Hoang, B. Pan, D. Nguyen, and Z. Wang, “Generic gamma correction for accuracy enhancement in fringe-projection profilometry,” Opt. Lett. 35, 1992–1994 (2010). [CrossRef]
  12. S. Ma, C. Quan, R. Zhu, L. Chen, B. Li, and C. J. Tay, “A fast and accurate gamma correction based on Fourier spectrum analysis for digital fringe projection profilometry,” Opt. Commun. 285, 533–538 (2012). [CrossRef]
  13. K. Liu, Y. Wang, D. L. Lau, Q. Hao, and L. G. Hassebrook, “Gamma model and its analysis for phase measurement profilometry,” J. Opt. Soc. Am. A 27, 553–562 (2010). [CrossRef]
  14. Z. Wang, D. Nguyen, and J. Barnes, “Some practical considerations in fringe profilometry,” Opt. Lasers Eng. 48, 218–225 (2010). [CrossRef]
  15. Y. Wen, S. Li, H. Cheng, X. Su, and Q. Zhang, “Universal calculation formula and calibration method in Fourier transform profilometry,” Appl. Opt. 49, 6563–6569 (2010). [CrossRef]
  16. F. Zhu, H. Shi, P. Bai, and X. He, “Three-dimensional shape measurement and calibration for fringe projection by considering unequal height of the projector and the camera,” Appl. Opt. 50, 1575–1583 (2011). [CrossRef]
  17. H. Cui, W. Liao, X. Cheng, N. Dai, and T. Yuan, “A three-step system calibration procedure with error compensation for 3D shape measurement,” Chin. Opt. Lett. 8, 33–37(2010). [CrossRef]
  18. M. J. Baker, J. Xi, and J. F. Chicharo, “Neural network digital fringe calibration technique for structured light profilometers,” Appl. Opt. 46, 1233–1243 (2007). [CrossRef]
  19. S. Zhang and P. S. Huang, “Novel method for structured light system calibration,” Opt. Eng. 45, 083601 (2006). [CrossRef]
  20. K. Liu, Y. Wang, D. L. Lau, Q. Hao, and L. G. Hassebrook, “Dual-frequency pattern scheme for high-speed 3-D shape measurement,” Opt. Express 18, 5229–5244 (2010). [CrossRef]
  21. R. Legarda-Saenz, T. Bothe, and W. P. Juptner, “Accurate procedure for the calibration of a structured light system,” Opt. Eng. 43, 464–471 (2004). [CrossRef]
  22. Z. Li, Y. Shi, C. Wang, and Y. Wang, “Accurate calibration method for a structured light system,” Opt. Eng. 47, 053604 (2008). [CrossRef]
  23. F. Da and S. Gai, “Flexible three-dimensional measurement technique based on a digital light processing projector,” Appl. Opt. 47, 377–385 (2008). [CrossRef]
  24. H. Du and Z. Wang, “Three-dimensional shape measurement with an arbitrarily arranged fringe projection profilometry system,” Opt. Lett. 32, 2438–2440 (2007). [CrossRef]
  25. L. Huang, P. S. K. Chua, and A. Asundi, “Least-squares calibration method for fringe projection profilometry considering camera lens distortion,” Appl. Opt. 49, 1539–1548 (2010). [CrossRef]
  26. P. S. Huang and X. Han, “On improving the accuracy of structured light systems,” Proc. SPIE 6382, 63820H (2006). [CrossRef]
  27. S. Cui and X. Zhu, “A generalized reference-plane-based calibration method in optical triangular profilometry,” Opt. Express 17, 20735–20746 (2009). [CrossRef]
  28. J. Y. Bouguet, “Camera calibration toolbox for Matlab,” http://www.vision.caltech.edu/bouguetj/calib_doc .
  29. Z. Zhang, “A flexible new technique for camera calibration,” IEEE Trans. Pattern Anal. Machine Intell. 22, 1330–1334 (2000). [CrossRef]
  30. W. H. Press, B. P. Flannery, S. A. Teukolsky, and W. T. Vetterling, Numerical Recipes 3rd Edition: The Art of Scientific Computing, 3rd ed. (Cambridge University, 2007).
  31. H. O. Saldner and J. M. Huntley, “Temporal phase unwrapping: application to surface profiling of discontinuous objects,” Appl. Opt. 36, 2770–2775 (1997). [CrossRef]
  32. D. Douxchamps and K. Chihara, “High-accuracy and robust localization of large control markers for geometric camera calibration,” IEEE Trans. Patt. Anal. Mach. Intell. 31, 376–383 (2009). [CrossRef]
  33. A. Datta, J. Kim, and T. Kanade, “Accurate camera calibration using iterative refinement of control points,” IEEE 12th ICCV Workshops (IEEE, 2009), pp. 1201–1208.
  34. M. Vo, Z. Wang, L. Luu, and J. Ma, “Advanced geometric camera calibration for machine vision,” Opt. Eng. 50, 110503 (2011). [CrossRef]

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