A NOVEL APPROACH TO PLANAR CAMERA CALIBRATION

Ashutosh Morde, Mourad Bouzit, Lawrence Rabiner

2006

Abstract

Camera calibration is an important step in 3D reconstruction of scenes. Many natural and man made objects are circular and form good candidates as calibration objects. We present a linear calibration algorithm to estimate the intrinsic camera parameters using at least three images of concentric circles of unknown radii. Novel methods to determine the projected center of concentric circles of unknown radii using the projective invariant, cross ratio, and calculating the vanishing line of the circle are proposed. The circular calibration pattern can be easily and accurately created. The calibration algorithm does not require any measurements of the scene or the homography between the images. Once the camera is fully calibrated the focal length of zooming cameras can be estimated from a single image. The algorithm was tested with real and synthetic images with different noise levels.

References

  1. Abad, F., Camahort, E., and Vivo, R. (2004). Camera calibration using two concentric circles. In International Conference on Image Analysis and Recognition, volume 3211, pages 688-696.
  2. Chen, Z. and Huang, J. (1999). A vision-based method for the circle pose determination with a direct geometric interpretation. In IEEE Transactions on Robotics & Automation, volume 15, pages 1135-1140.
  3. Fitzgibbon, A., Pilu, M., and Fisher, R. B. (1999). Direct least square fitting of ellipses. In IEEE Transactions on Pattern Analysis & Machine Intelligence, volume 21.
  4. Grosky, W. and Tamburino, L. (1990). A unified approach to the linear camera calibration problem. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12:663-667.
  5. Hartley, R. and Zisserman, A. (2000). Multiple View Geometry in Computer Vision. Cambridge University Press.
  6. Heikkila, J. (2000). Geometric camera calibration using circular control points. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22:1066-1077.
  7. J.L.Mundy and A.Zisserman, editors (1992). Geometric Invariance in Computer Vision. MIT Press.
  8. Kanatani, K. and Liu, W. (1993). 3d interpretation of conics and orthogonality. CVGIP: Image Understanding, 58:286-301.
  9. Kim, J. S., Kim, H. W., and Kweon, I. S. (2002). A camera calibration method using concentric circles for vision applications. In Asian Conference on Computer Vision, volume 2, pages 515-520.
  10. Kim, J. S. and Kweon, I. S. (2001). A new camera calibration method for robotic applications. In International Conference on Intelligent Robots and Systems, pages 778-783.
  11. Meng, X. and Hu, Z. (2003). A new easy camera calibration technique based on circular points. Pattern Recognition, 36:1155-1164.
  12. Strum, P. and Maybank, S. (1999). On plane based camera calibration: A general algorithm, singularities, applications. In Computer Vision and Pattern Recognition, pages 432-437.
  13. Tsai, R. Y. (1987). A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-shelf tv cameras and lenses. IEEE Journal of Robotics and Automation, 3:323-344.
  14. Yang, C., Sun, F., and Hu, Z. (2000). Planar conic based camera calibration. In International Conference on Pattern Recognition, volume 1, pages 1555-1558.
  15. Zhang, Z. (2000). A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22:1330-1334.
Download


Paper Citation


in Harvard Style

Morde A., Bouzit M. and Rabiner L. (2006). A NOVEL APPROACH TO PLANAR CAMERA CALIBRATION . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 972-8865-40-6, pages 87-92. DOI: 10.5220/0001362500870092


in Bibtex Style

@conference{visapp06,
author={Ashutosh Morde and Mourad Bouzit and Lawrence Rabiner},
title={A NOVEL APPROACH TO PLANAR CAMERA CALIBRATION},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2006},
pages={87-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001362500870092},
isbn={972-8865-40-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - A NOVEL APPROACH TO PLANAR CAMERA CALIBRATION
SN - 972-8865-40-6
AU - Morde A.
AU - Bouzit M.
AU - Rabiner L.
PY - 2006
SP - 87
EP - 92
DO - 10.5220/0001362500870092