Gross Error Considered Stereo Images Relative Orientation

Abstract:

Relative orientation is one of the most important and classic tasks in photogrammetry. Gross error of the corresponding points may be caused by computer automatic image matching, the commonly used method is unsuitable to relative orientation. In this paper, a novel approach of stereo images relative orientation considering gross error was proposed. Firstly the initial elements of relative orientation are computed by direct relative orientation, then the refined elements of relative orientation are obtained by Huber and iterative algorithm in the continuous relative orientation, which can eliminate the negative influence of gross error. Experimental results show that the proposed approach can achieve more excellent performances in accuracy than the commonly used method in the corresponding points with gross error.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 3755-3759
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.3755
• Online since: November 2014
• Authors: Hai Qing He*, Xiao Yong Chen
• Keywords: Corresponding Point, Gross Error, Huber Algorithm, Image Matching, Relative Orientation

References

[1] H. Stewénius, C. Engels, D. Nistér, Recent development on direct relative orientation, ISPRS Journal of Photogrammetry & Remote Sensing, no. 4, (2006), pp.284-294.

DOI: 10.1016/j.isprsjprs.2006.03.005

[2] A. Gruen, T. S. Huang, Calibration and orientation of cameras in computer vision, Springer-Verlag, (2001) ISBN 3-540-65283-3.

[3] J. Wang, Z. Lin, C. Ren, Relative orientation in low altitude photogrammetry survey, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXII ISPRS Congress, Melbourne, Australia, vol. XXXIX-B1, (2012).

DOI: 10.5194/isprsarchives-xxxix-b1-463-2012

[4] J. Philip, A non-iterative algorithm for determining all essential matrices corresponding to five point pairs, Photogrammetric Record, vol. 15, no. 88, (1996), pp.589-599.

DOI: 10.1111/0031-868x.00066

[5] D. Nistér, An efficient solution to the five-point relative pose problem, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 6, (2004), pp.756-770.

DOI: 10.1109/tpami.2004.17

[6] J. C. McGlone, E. M. Mikhail, J. Bethel, and R. Mullen, Manual of Photogrammetry, fifth ed., American Society of Photogrammetry and Remote Sensing, (2004), ISBN: 1-57083-071-1.

[7] D. Nistér, An efficient solution to the five-point relative pose problem, in Proceeding of IEEE-CVPR, (2003).

[8] R. Hartley, A. Zisserman, Multiview geometry in computer vision, 2nd Edition, Cambridge University Press, (2004).

[9] D. Nistér, H. Stewénius, Using algebraic geometry for solving polynomial problems in computer vision, short course at ICCV, (2005).