Skip to main content

Flexible Online Calibration for a Mobile Projector-Camera System

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6495))

Abstract

This paper presents a method for calibrating a projector camera system consisting of a mobile projector, a stationary camera, and a planar screen. The method assumes the projector to be partially calibrated and the camera to be uncalibrated, and does not require any fiducials or natural markers on the screen. For the system of geometrically compensating images projected on the screen from a hand-held projector so that the images will always be displayed at a fixed position of the screen in a fixed shape, the method makes the projected images geometrically rectified; that is, it makes them have the correct rectangular shape of the correct aspect ratio. The method automatically performs this calibration online without requiring any effort on the user’s part; all the user has to do is project a video from the hand-held projector. Furthermore, when the system makes discontinuous temporal changes such as the case where the camera and/or the screen is suddenly relocated, it automatically recovers the calibrated state that was once lost. To realize these properties, we adopt the sequential LS method and extend it to be able to deal with temporal changes of the system. We show several experimental results obtained by a real system.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Raskar, R., Beardsley, P.: A self correcting projector. In: Proc. CVPR, pp. 626–631 (2001)

    Google Scholar 

  2. Raskar, R., van Baar, J., Beardsley, P., Willwacher, T., Rao, S., Forlines, C.: ilamps: Geometrically aware and self-configuring projectors. In: Proc. ACM SIGGRAPH (2003)

    Google Scholar 

  3. Rehg, J.M., Flagg, M., Cham, T.J., Sukthankar, R., Sukthankar, G.: Projected light displays using visual feedbak. In: Proc. International Conference on Control, Automation, Robotics and Vision (2002)

    Google Scholar 

  4. Johnson, T., Fuchs, H.: Real-time projector tracking on complex geometry using ordinary imagery. In: Proc. CVPR, pp. 1–8 (2007)

    Google Scholar 

  5. Okatani, T., Deguchi, K.: Easy calibration of a multi-projector display system. International Journal of Computer Vision 85, 1–18 (2009)

    Article  Google Scholar 

  6. Raij, A., Pollefeys, M.: Auto-calibration of multi-projector display walls. In: Proc. International Conference on Pattern Recognition (2004)

    Google Scholar 

  7. Cotting, D., Ziegler, R., Gross, M., Fuchs, H.: Adaptive instant displays: Continuously calibrated projections using per-pixel light control. Computer Graphics Forum 24, 705–714 (2005)

    Article  Google Scholar 

  8. Zhou, J., Wang, L., Akbarzadeh, A., Yang, R.: Multi-projector display with continuous self-calibration. In: Proceedings of the 5th ACM/IEEE International Workshop on Projector camera systems, PROCAMS 2008, pp. 1–7. ACM, New York (2008)

    Chapter  Google Scholar 

  9. Johnson, T., Welch, G., Fuchs, H., la Force, E., Towles, H.: A distributed cooperative framework for continuous multi-projector pose estimation. In: Proceedings of the 2009 IEEE Virtual Reality Conference, VR 2009, pp. 35–42. IEEE Computer Society, Washington, DC (2009)

    Google Scholar 

  10. Yang, R., Welch, G.: Automatic and continuous projector display surface calibration using every-day imagery. In: Skala, V. (ed.) Proceedings of Conference on WSCG (2001)

    Google Scholar 

  11. Zollmann, S., Langlotz, T., Bimber, O.: Passive-active geometric calibration for view-dependent projections onto arbitrary surfaces. Journal of Visual Reality and Broadcasting 4 (2007)

    Google Scholar 

  12. Okatani, T., Deguchi, K.: Autocalibration of a projector-camera system. IEEE Trans. PAMI 27, 1845–1855 (2005)

    Article  Google Scholar 

  13. Triggs, B.: Autocalibration from planar scenes. In: Burkhardt, H.-J., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1406, p. 89. Springer, Heidelberg (1998)

    Google Scholar 

  14. Zach, C., Gallup, D., Frahm, J.M.: Fast gain-adaptive KLT tracking on the GPU. In: Proc. CVGP 2008, pp. 1–7 (2008)

    Google Scholar 

  15. Wu, C.: SiftGPU: A GPU implementation of scale invariant feature transform, http://www.cs.unc.edu/~ccwu/siftgpu/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Abe, D., Okatani, T., Deguchi, K. (2011). Flexible Online Calibration for a Mobile Projector-Camera System. In: Kimmel, R., Klette, R., Sugimoto, A. (eds) Computer Vision – ACCV 2010. ACCV 2010. Lecture Notes in Computer Science, vol 6495. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19282-1_45

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-19282-1_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19281-4

  • Online ISBN: 978-3-642-19282-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics