CAMERA LOCALIZATION USING INCOMPLETE CHESSBOARD PATTERN

Marek Solony, Pavel Zak, Vitezslav Beran, Michal Spanel

2011

Abstract

This paper introduces the approach for the real-time camera localization by capturing the plane of chessboard pattern. This task has been already solved by several different approaches, but we present the novel method of the chessboard reconstruction from its incomplete image, that enables successful camera localization even if the captured chessboard plane is partially covered by an unknown object. The camera position and orientation is during the processing of the videosequence tracked with the Kalman filter that enables correct localization also in the closeup views on the pattern.

References

  1. Ahn, S. J., Rauh, W., and Kim, S. I. (2001). Circular coded target for automation of optical 3d-measurement and camera calibration. IJPRAI, 15(6).
  2. Bevilacqua, A., Gherardi, A., and Carozza, L. (2008). Automatic perspective camera calibration based on an incomplete set of chessboard markers. In Sixth Indian Conference on Computer Vision, Graphics Image Processing.
  3. de la Escalera, A. and Armingol, J. M. (2010). Automatic chessboard detection for intrinsic and extrinsic camera parameter calibration. Sensors, 10(3):2027-2044.
  4. Fiala, M. and Shu, C. (2008). Self-identifying patterns for plane-based camera calibration. Machine Vision Applications, 19(4).
  5. Forbes, K., Voigt, A., and Bodika, N. (2002). An inexpensive, automatic and accurate camera calibration method. In In Proceedings of the Thirteenth Annual South African Workshop on Pattern Recognition.
  6. Forsyth, D. A. and Ponce, J. (2002). Computer Vision: A Modern Approach. Prentice Hall.
  7. Ha, J.-E. (2007). Automatic detection of calibration markers on a chessboard. Optical Engineering, 46(10).
  8. Kato, H. and Billinghurst, M. (1999). Marker tracking and hmd calibration for a video-based augmented reality conferencing system. In Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality, Washington, USA. IEEE Computer Society.
  9. Shu, C., Brunton, A., Fiala, M., Shu, C., Brunton, A., and Fiala, M. (2003). Automatic grid finding in calibration patterns using delaunay triangulation. Technical report.
  10. Wang, Z., Wang, Z., and Wu, Y. (2010). Recognition of corners of planar checkboard calibration pattern image. In Control and Decision Conference (CCDC).
  11. Weixing, Z., Changhua, M., Libing, X., and Xincheng, L. (2009). A fast and accurate algorithm for chessboard corner detection. In Image and Signal Processing, 2009. CISP 7809. 2nd International Congress on.
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Paper Citation


in Harvard Style

Solony M., Zak P., Beran V. and Spanel M. (2011). CAMERA LOCALIZATION USING INCOMPLETE CHESSBOARD PATTERN . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 415-418. DOI: 10.5220/0003329004150418


in Bibtex Style

@conference{visapp11,
author={Marek Solony and Pavel Zak and Vitezslav Beran and Michal Spanel},
title={CAMERA LOCALIZATION USING INCOMPLETE CHESSBOARD PATTERN},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={415-418},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003329004150418},
isbn={978-989-8425-47-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - CAMERA LOCALIZATION USING INCOMPLETE CHESSBOARD PATTERN
SN - 978-989-8425-47-8
AU - Solony M.
AU - Zak P.
AU - Beran V.
AU - Spanel M.
PY - 2011
SP - 415
EP - 418
DO - 10.5220/0003329004150418