EFFICIENT PLANAR CAMERA CALIBRATION VIA AUTOMATIC IMAGE SELECTION

Brendan P. Byrne, John Mallon, Paul F. Whelan

2009

Abstract

This paper details a novel approach to automatically selecting images which improve camera calibration results. An algorithm is presented which identifies calibration images that inherently improve camera parameter estimates based on their geometric configuration or image network geometry. Analysing images in a more intuitive geometric framework allows image networks to be formed based on the relationship between their world to image homographies. Geometrically, it is equivalent to enforcing maximum independence between calibration images, this ensures accuracy and stability when solving the planar calibration equations. A webcam application using the proposed strategy is presented. This demonstrates that careful consideration of image network geometry, which has largely been neglected within the community, can yield more accurate parameter estimates with less images.

References

  1. Bouget, J. (2001). www.vision.caltech.edu/bouguetj/calib.
  2. Faugeras, O. (1993). Three Dimensional Computer Vision: A geometric Viewpoint. MIT Press.
  3. Gonzalez, J. I., Gmez, J. C., Artal, C. G., and Cabrera, A. N. (2005). Comparative analysis of calibration methods for a static camera. WAF05.
  4. Gurdjos, P. (2001). Calibration of a moving camera using a planar pattern: A centre line-based approach for varying focal length. In BMVC.
  5. Knuth, D. E. (1998). The Art of Computer Programming, volume 3. Addison-Wesley, second edition.
  6. OpenCV (2001). intel.com/technology/computing/opencv.
  7. Rupp, S. and Elter, M. (2007). Robust camera calibration -a generic, optimization-based approach. In VISAPP07.
  8. Salvi, J., Armangue, X., and Batlle, J. (2002). A comparative review of camera calibrating methods with accuracy evaluation. Pattern Recognition, 35(7).
  9. Sturm, P. and Maybank, S. (1999). On plane-based camera calibration: A general algorithm, singularities, applications. In CVPR99.
  10. Sun, W. and Cooperstock, J. (2007). An empirical evaluation of factors influencing camera calibration accuracy using three publicly available techniques. MVA.
  11. Tsai, R. (1987). A versatile camera calibration technique for high-accuracy 3d machine vision metrology using offthe-shelf tv cameras and lenses. RA, 3(4):323-344.
  12. Wang, J. and Liu, Y. (2006). Characteristic line of planar homography matrix and its applications in camera calibration. icpr, 1:147-150.
  13. Wei, G. and Ma, S. (1994). Implicit and explicit camera calibration: Theory and experiments. PAMI, 16(5).
  14. Zhang, Z. (1999). Flexible camera calibration by viewing a plane from unknown orientations. In ICCV99.
Download


Paper Citation


in Harvard Style

P. Byrne B., Mallon J. and F. Whelan P. (2009). EFFICIENT PLANAR CAMERA CALIBRATION VIA AUTOMATIC IMAGE SELECTION . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 90-94. DOI: 10.5220/0001792100900094


in Bibtex Style

@conference{visapp09,
author={Brendan P. Byrne and John Mallon and Paul F. Whelan},
title={EFFICIENT PLANAR CAMERA CALIBRATION VIA AUTOMATIC IMAGE SELECTION},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={90-94},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001792100900094},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - EFFICIENT PLANAR CAMERA CALIBRATION VIA AUTOMATIC IMAGE SELECTION
SN - 978-989-8111-69-2
AU - P. Byrne B.
AU - Mallon J.
AU - F. Whelan P.
PY - 2009
SP - 90
EP - 94
DO - 10.5220/0001792100900094