On the Multiple-view Triangulation Problem with Perspective and Non-perspective Cameras - A Virtual Reprojection-based Approach

Graziano Chesi

2012

Abstract

This paper considers the multiple-view triangulation problem in a vision system with perspective and non-perspective cameras. In particular, cameras that can be modeled through a spherical projection followed by a perspective one, such as perspective cameras and fisheye cameras, are considered. For this problem, an approach based on reprojecting the available image points onto virtual image planes is proposed, which has the advantage of transforming the original problem into a new one for which the existing methods for multiple-view triangulation with perspective cameras can be used. In particular, algebraic and geometric errors of such methods are now evaluated on the virtual image planes, and the solution of the new problem exactly approaches the sought scene point as image noise and calibration errors tend to zero. The proposed approach is illustrated by several numerical investigations with synthetic and real data.

References

  1. Byrod, M., Josephson, K., and Astrom, K. (2007). Fast optimal three view triangulation. In Asian Conf. on Computer Vision, volume 4844 of LNCS, pages 549- 559, Tokyo, Japan.
  2. Chesi, G. and Hung, Y. S. (2007). Global path-planning for constrained and optimal visual servoing. IEEE Trans.
  3. on Robotics, 23(5):1050-1060.
  4. Chesi, G. and Hung, Y. S. (2011). Fast multiple-view L2 triangulation with occlusion handling. Computer Vision and Image Understanding, 115(2):211-223.
  5. Chesi, G. and Vicino, A. (2004). Visual servoing for large camera displacements. IEEE Trans. on Robotics, 20(4):724-735.
  6. Faugeras, O. and Luong, Q.-T. (2001). The Geometry of Multiple Images. MIT Press, Cambridge (Mass.).
  7. Hartley, R. and Schaffalitzky, F. (2004). l8 minimization in geometric reconstruction problems. In IEEE Conf. on Computer Vision and Pattern Recognition, pages 504-509, Washington, USA.
  8. Hartley, R. and Sturm, P. (1997). Triangulation. Computer Vision and Image Understanding, 68(2):146-157.
  9. Hartley, R. and Zisserman, A. (2000). Multiple view in computer vision. Cambridge University Press.
  10. Lu, F. and Hartley, R. (2007). A fast optimal algorithm for l2 triangulation. In Asian Conf. on Computer Vision, volume 4844 of LNCS, pages 279-288, Tokyo, Japan.
  11. Stewenius, H., Schaffalitzky, F., and Nister, D. (2005). How hard is 3-view triangulation really? In Int. Conf. on Computer Vision, pages 686-693, Beijing, China.
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Paper Citation


in Harvard Style

Chesi G. (2012). On the Multiple-view Triangulation Problem with Perspective and Non-perspective Cameras - A Virtual Reprojection-based Approach . In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-8565-22-8, pages 5-13. DOI: 10.5220/0003981300050013


in Bibtex Style

@conference{icinco12,
author={Graziano Chesi},
title={On the Multiple-view Triangulation Problem with Perspective and Non-perspective Cameras - A Virtual Reprojection-based Approach},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2012},
pages={5-13},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003981300050013},
isbn={978-989-8565-22-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - On the Multiple-view Triangulation Problem with Perspective and Non-perspective Cameras - A Virtual Reprojection-based Approach
SN - 978-989-8565-22-8
AU - Chesi G.
PY - 2012
SP - 5
EP - 13
DO - 10.5220/0003981300050013