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Multimedia Tools and Applications

, Volume 78, Issue 2, pp 1457–1471 | Cite as

An efficient projector calibration method for projecting virtual reality on cylindrical surfaces

  • Cristina Portalés
  • Juan M. OrduñaEmail author
  • Pedro Morillo
  • Jesús Gimeno
Article
  • 65 Downloads

Abstract

In this paper, we propose a fast and easy-to-use projector calibration method needing a minimum set of input data, thus reducing the calibration time. The method is based on the Direct Linear Transformation (DLT) mathematical model, which makes it simple and fully automatic. We show the application of this method on cylindrical surfaces, as well as some real application examples. The results show that with the minimum configuration of 6 control points (CPs), the standard deviation in the projector positioning yielded by the calibration process is less than one per cent of the position values.

Keywords

Immersive visualization Virtual reality Calibration methods 

Notes

References

  1. 1.
    Bhasker E, Sinha P, Majumder A (2006) Asynchronous distributed calibration for scalable and reconfigurable multi-projector displays. IEEE Trans Vis Comput Graph 12 (5):1101.  https://doi.org/10.1109/TVCG.2006.121 CrossRefGoogle Scholar
  2. 2.
    Brown M, Majumder A, Yang R (2005) Camera-based calibration techniques for seamless multiprojector displays. IEEE Trans Visual Comput Graph 11(2):193.  https://doi.org/10.1109/TVCG.2005.27 CrossRefGoogle Scholar
  3. 3.
    Chen H, Sukthankar R, Wallace G, Li K (2002) Scalable alignment of large-format multi-projector displays using camera homography trees. In: Proceedings of the conference on visualization ’02. IEEE Computer Society, Washington, pp 339–346. http://dl.acm.org/citation.cfm?id=602099.602151
  4. 4.
    Dermanis A (1994) Free network solutions with the DLT method. ISPRS J Photogramm Remote Sens 49:2.  https://doi.org/10.1016/0924-2716(94)90061-2 CrossRefGoogle Scholar
  5. 5.
    Garcia-Dorado I, Cooperstock J (2011) Fully automatic multi-projector calibration with an uncalibrated camera. In: 2011 IEEE computer society conference on computer vision and pattern recognition workshops (CVPRW), pp 29–36.  https://doi.org/10.1109/CVPRW.2011.5981726
  6. 6.
    Griesser A, Van Gool L (2006) Automatic interactive calibration of multi-projector-camera systems. In: 2006 CVPRW ’06 conference on computer vision and pattern recognition workshop, p 8.  https://doi.org/10.1109/CVPRW.2006.37
  7. 7.
    Harville M, Culbertson B, Sobel I, Gelb D, Fitzhugh A, Tanguay D (2006) Practical methods for geometric and photometric correction of tiled projector. In: 2006 CVPRW ’06 conference on computer vision and pattern recognition workshop, p 5.  https://doi.org/10.1109/CVPRW.2006.161
  8. 8.
    Itseez (2015) Opencv 3.0. http://opencv.org/opencv-3-0.html
  9. 9.
    Karara HM, Abdel-Aziz YI (1979) Accuracy aspects of non-metric imageries. Photogramm Eng 48(7):1107Google Scholar
  10. 10.
    Kraus K, Waldhäusl P Photogrammetry: Advanced methods and applications. Photogrammetry / Karl Kraus (Dümmler, 1997). https://books.google.es/books?id=sih2QgAACAAJ
  11. 11.
    Li T, Zhang H, Geng J (2010) Geometric calibration of a camera-projector 3D imaging system. In: 2010 25th international conference of image and vision computing New Zealand (IVCNZ), pp 1–8.  https://doi.org/10.1109/IVCNZ.2010.6148798
  12. 12.
    Liao J, Cai L (2008) A calibration method for uncoupling projector and camera of a structured light system. In: AIM 2008 IEEE/ASME international conference on advanced intelligent mechatronics, pp 770–774.  https://doi.org/10.1109/AIM.2008.4601757
  13. 13.
    Lin SY, Mills JP, Gosling PD (2008) Videogrammetric monitoring of as-built membrane roof structures. Photogramm Rec 23(122):128.  https://doi.org/10.1111/j.1477-9730.2008.00477.x CrossRefGoogle Scholar
  14. 14.
    Moreno D, Taubin G (2012) Simple, accurate, and robust projector-camera calibration. In: 2012 second international conference on 3D imaging, modeling, processing, visualization and transmission (3DIMPVT), pp 464–471.  https://doi.org/10.1109/3DIMPVT.2012.77
  15. 15.
    Nakamura T, de Sorbier F, Martedi S, Saito H (2012) Calibration-free projector-camera system for spatial augmented reality on planar surfaces. In: 2012 21st international conference on pattern recognition (ICPR), pp 85–88Google Scholar
  16. 16.
    Okatani T, Deguchi K (2006) Autocalibration of an ad hoc construction of multi-projector displays. In: Conference on computer vision and pattern recognition workshop, CVPRW ’06, p 4.  https://doi.org/10.1109/CVPRW.2006.35
  17. 17.
    Park SY, Park GG (2010) Active calibration of camera-projector systems based on planar homography. In: 20th international conference on pattern recognition (ICPR). IEEE Computer Society, pp 320–323Google Scholar
  18. 18.
    Portalés C, Morillo P, Orduña JM (2014) Towards an improved method of dense 3D object reconstruction in structured light scanning. In: Proceedings of international conference on computational and mathematical methods in science and engineering (CMMSE), pp 992–1001Google Scholar
  19. 19.
    Portalés C, Orduña JM, Morillo P (2015) Parallelization of a method for dense 3D object reconstruction in structured light scanning. J Supercomputing 71(5):1857.  https://doi.org/10.1007/s11227-014-1364-x CrossRefGoogle Scholar
  20. 20.
    Portalés C, Ribes-Gómez E, Pastor B, Gutiérrez A (2015) Calibration of a camera-projector monochromatic system. Photogramm Rec 30(149):82.  https://doi.org/10.1111/phor.12094 CrossRefGoogle Scholar
  21. 21.
    Portalés C, Casas S, Coma I, Fernández M (2017) A multi-projector calibration method for virtual reality simulators with analytically defined screens. J Imag 3(2):19.  https://doi.org/10.3390/jimaging3020019 CrossRefGoogle Scholar
  22. 22.
    Raij A, Pollefeys M (2004) Auto-calibration of multi-projector display walls. In: Proceedings of the 17th international conference on pattern recognition, ICPR 2004, vol 1, pp 14–17.  https://doi.org/10.1109/ICPR.2004.1333994
  23. 23.
    Raskar R, Brown M, Yang R, Chen WC, Welch G, Towles H, Scales B, Fuchs H (1999) Multi-projector displays using camera-based registration. In: Proceedings of the visualization ’99, pp 161–522.  https://doi.org/10.1109/VISUAL.1999.809883
  24. 24.
    Sajadi B, Majumder A (2009) Markerless view-independent registration of multiple distorted projectors on extruded surfaces using an uncalibrated camera. IEEE Trans Visual Comput Graph 15(6):1307.  https://doi.org/10.1109/TVCG.2009.166 CrossRefGoogle Scholar
  25. 25.
    Sajadi B, Majumder A (2010) Auto-calibration of cylindrical multi-projector systems. In: 2010 IEEE virtual reality conference (VR), pp 155–162.  https://doi.org/10.1109/VR.2010.5444797
  26. 26.
    Sun W, Sobel I, Culbertson B, Gelb D, Robinson I (2008) Calibrating multi-projector cylindrically curved displays for “Wallpaper” projection. In: Proceedings of the 5th ACM/IEEE international workshop on projector camera systems. ACM, New York, pp 1:1–1:8.  https://doi.org/10.1145/1394622.1394624.
  27. 27.
    Tardif JP, Roy S, Trudeau M (2003) Multi-projectors for arbitrary surfaces without explicit calibration nor reconstruction. In: 2003 3DIM Proceedings of the fourth international conference on 3-D digital imaging and modeling, pp 217–224.  https://doi.org/10.1109/IM.2003.1240253

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.IRTICUniversidad de ValenciaValenciaSpain
  2. 2.Departamento de InformáticaUniversidad de ValenciaValenciaSpain

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