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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 49, Iss. 18 — Jun. 20, 2010
  • pp: 3622–3629

High-speed pattern projection for three-dimensional shape measurement using laser speckles

Martin Schaffer, Marcus Grosse, and Richard Kowarschik  »View Author Affiliations


Applied Optics, Vol. 49, Issue 18, pp. 3622-3629 (2010)
http://dx.doi.org/10.1364/AO.49.003622


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Abstract

We propose a high-speed projection system that is able to project statistical speckle patterns at a rate of 500 Hz . Its purpose is to generate structured light for a real-time photogrammetry stereo vision setup. As conventional digital light projector (DLP) projection setups are limited in their maximum projection rate to 250 Hz for gray-value patterns, stripe projection systems are usually applied for real-time three-dimensional (3D) measurements. However, these techniques can only be used on steady surfaces as phase unwrapping has to be done. In contrast, the proposed setup is able to measure the shape of multiple spatially separated objects at once. We compare the speckle setup with a system using a DLP projector and with other fast 3D shape measurement setups, like the widely used stripe projection methods, qualitatively and quantitatively.

© 2010 Optical Society of America

OCIS Codes
(110.6880) Imaging systems : Three-dimensional image acquisition
(120.4630) Instrumentation, measurement, and metrology : Optical inspection
(150.2950) Machine vision : Illumination

ToC Category:
Instrumentation, Measurement, and Metrology

History
Original Manuscript: March 19, 2010
Revised Manuscript: April 28, 2010
Manuscript Accepted: May 6, 2010
Published: June 18, 2010

Citation
Martin Schaffer, Marcus Grosse, and Richard Kowarschik, "High-speed pattern projection for three-dimensional shape measurement using laser speckles," Appl. Opt. 49, 3622-3629 (2010)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-49-18-3622


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References

  1. S. Zhang, “Recent progresses on real-time 3D shape measurement using digital fringe projection techniques,” Opt. Lasers Eng. 48, 149–158 (2010). [CrossRef]
  2. T. Weise, B. Leibe, and L. V. Gool, “Fast 3D scanning with automatic motion compensation,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR’07) (IEEE, 2007), pp. 1–8. [CrossRef]
  3. R. Yang, L. Wang, G. Welch, and M. Pollefeys, “Stereo vision on GPU,” in Workshop on Edge Computing Using New Commodity Architectures (University of North Carolina, 2006).
  4. S. Zhang, D. Royer, and S. Yau, “GPU-assisted high-resolution, real-time 3-D shape measurement,” Opt. Express 14, 9120–9129 (2006). [CrossRef] [PubMed]
  5. J. Pags, J. Salvi, R. Garcia, and C. Matabosch, “Overview of coded light projection techniques for automatic 3D profiling,” in IEEE Robotics and Automation (ICRA’03) (IEEE, 2003), Vol. 1, pp. 133–138.
  6. K. G. Harding, “Phase grating use for slop discrimination in moiré contouring,” Proc. SPIE 1614, 265–270 (1992). [CrossRef]
  7. Z. J. Geng, “Rainbow 3-D camera: new concept of high-speed three vision system,” Opt. Eng. 35, 376–383 (1996). [CrossRef]
  8. C. Wust and D. W. Capson, “Surface profile measurement using color fringe projection,” Machine Vis. Appl. 4, 193–203(1991). [CrossRef]
  9. L. Zhang, B. Curless, and S. M. Seitz, “Rapid shape acquisition using color structured light and multi-pass dynamic programming,” in IEEE Symposium on 3D Data Processing, Visualization, and Transmission (IEEE, 2002), pp. 24–36. [CrossRef]
  10. M. Takeda and K. Mutoh, “Fourier transform profilometry for the automatic measurement of 3-D object shapes,” Appl. Opt. 22, 3977–3982 (1983). [CrossRef] [PubMed]
  11. S. Rusinkiewicz, O. Hall-Holt, and M. Levoy, “Real-time 3D model acquisition,” in SIGGRAPH 2002 Proceedings (ACM, 2002), Vol. 21, pp. 438–446. [CrossRef]
  12. H. Guo and P. Huang, “3-D shape measurement by use of a modified Fourier transform method,” Proc. SPIE 7066, 70660E (2008). [CrossRef]
  13. B. Michaelis and P. Albrecht, “Stereo photogrammetry with improved spatial resolution,” in 14th International Conference on Pattern Recognition (IEEE, 1998), pp. 845–849.
  14. A. Wiegmann, H. Wagner, and R. Kowarschik, “Human face measurement by projecting bandlimited random patterns,” Opt. Express 14, 7692–7698 (2006). [CrossRef] [PubMed]
  15. J. P. Siebert and S. J. Marshall, “Human body 3D imaging by speckle texture projection photogrammetry,” Sensor Rev. 20, 218–226 (2000). [CrossRef]
  16. M. Dekiff, G. Bischoff, Z. Borocz, D. Dirksen, G. von Bally, and C. Denz, “3d-formerfassung mittels korrelation projizierter specklemuster,” in Deutsche Gesellschaft für angewandte Optik Proceedings (European Optical Society, 2008).
  17. M. Grosse and R. Kowarschik, “Space-time multiplexing in a stereo-photogrammetry setup,” in Fringe 2009, W.Osten and M.Kujawinska, eds. (Springer, 2009), pp. 755–759.
  18. J. P. Lewis, “Fast normalized-cross-correlation,” in Vision Interface (ACM, 1995).
  19. H. Hirschmller, P. R. Innocent, and J. Garibaldi, “Real-time correlation-based stereo vision with reduced border errors,” Int. J. Comput. Vis. 47, 229–246 (2002). [CrossRef]
  20. J. Davis, R. Ramamoorthi, and S. Rusinkiewicz, “Spacetime stereo: a unifying framework for depth from triangulation,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR’03) (IEEE, 2003), Vol. 2, pp. 359–366.
  21. J. Mairal, R. Keriven, and A. Chariot, “Fast and efficient dense variational stereo on GPU,” in Proceedings of International Symposium on 3D Data Processing, Visualization, and Transmission (IEEE, 2006), pp. 97–104.
  22. H. Wagner, A. Wiegmann, R. Kowarschik, and F. Zollner, “3D measurement of human face by stereophotogrammetry,” Proc. SPIE 5856, 509–516 (2005). [CrossRef]
  23. Z. Zhang, “A flexible new technique for camera calibration,” Tech. Rep. MSR-TR-98-71 (Microsoft Research, 1998).
  24. R. I. Hartley, “In defense of the 8-point algorithm,” IEEE Trans. Pattern Anal. Machine Intell. 19, 580–593 (1997). [CrossRef]
  25. J.C.Dainty, ed., Laser Speckle and Related Phenomena (Springer Verlag, 1984).
  26. M. Grosse, “Disturbing moiré effects in a stereo-photogrammetry setup,” in Deutsche Gesellschaft für angewandte Optik Proceedings (European Optical Society, 2009).
  27. S. Zhang, “High-resolution, real-time 3-D shape measurement,” Ph.D. dissertation (Stony Brook University, 2005).
  28. Centre Suisse d’Electronique et de Microtechnique, “Time of flight camera technology,” Tech. Rep. (Centre Suisse d’Electronique et de Microtechnique, 2009).

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