Articles

Analysis of the Pencil of Conics with Double Complex Contact and Its Application to Camera Calibration

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  • (1. Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200240, China; 2. Information and Communication Technology Department, University of Trento, Trento 38100, Italy)

Online published: 2013-03-19

Abstract

In this paper, we introduce a novel class of coplanar conics, the pencil of which can doubly contact to calibrate camera and estimate pose. We first analyze the properties of con-axes and con-eccentricity ellipses, which consist of a natural extending pattern of concentric circles. Then the general case that two ellipses have two repeated complex intersection points is presented. This degenerate configuration results in a one-parameter family of homographies which map the planar pattern to its image. Although it is unable to compute the complete homography, an indirect 3-degree polynomial or 5-degree polynomial constraint on intrinsic parameters from one image can also be used for camera calibration and pose estimation under the minimal conditions. Furthermore, this nonlinear problem can be treated as a polynomial optimization problem (POP) and the global optimization solution can be also obtained by using SparsePOP (a sparse semidefinite programming relaxation of POPs). Finally, the experiments with simulated data and real images are shown to verify the correctness and robustness of the proposed technique.

Cite this article

CAI Shen1* (蔡棽), WANG Chen-hao1 (王宸昊), YAN Yan1,2 (阎炎), LIU Yun-cai1 (刘允才) . Analysis of the Pencil of Conics with Double Complex Contact and Its Application to Camera Calibration[J]. Journal of Shanghai Jiaotong University(Science), 2013 , 18(1) : 1 -006 . DOI: 10.1007/s12204-013-1361-x

References

[1] Meng X, Hu Z. A new easy camera calibration technique based on circular points [J]. Pattern Recognition,2003, 36(5): 1155-1164.
[2] Chen Q, Wu H, Wada T. Camera calibration with two arbitrary coplanar circles [C]//Proceedings of 8th European Conference on Computer Vision (ECCV).Heidelberg: Springer-Verlag, 2004: 521-532.
[3] Wu Y, Li X, Wu F, et al. Coplanar circles, quasiaffine invariance and calibration [J]. Image and Vision Computing, 2006, 24(4): 319-326.
[4] Ying X, Zha H. Camera calibration using principalaxes aligned conics [C]//Proceedings of 8th Asian Conference on Computer Vision (ACCV). Tokyo, Japan:Asian Federation of Computer Vision, 2007: 138-148.
[5] Gurdjos P, Kim J S, Kweon I S. Euclidean structure from confocal conics: Theory and application to camera calibration [C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition(CVPR). New York, USA: IEEE, 2006: 1214-1222.
[6] Gurdjos P, Sturm P, Wu Y. Euclidean structure from N  2 parallel circles: Theory and algorithms [C]// Proceedings of 9th European Conference on Computer Vision (ECCV). Heidelberg: Springer-Verlag,2006: 238-252.
[7] Jiang G, Quan L. Detection of concentric circles for camera calibration [C]//Proceedings of 10th International Conference on Computer Vision (ICCV). Beijing,China: IEEE, 2005: 138-148.
[8] Kim J S, Gurdjos P, Kweon I S. Geometric and algebraic constraints of projected concentric circles and their applications to camera calibration [J]. IEEE Transaction on Pattern Analysis and Machine Intelligence,2005, 27(4): 637-642.
[9] Semple J, Kneebone G. Algebraic projective geometry [M]. Oxford: Clarendon Press, 1998.
[10] Waki H, Kim S, Muramatsu M, et al. Algorithm 883: Sparsepop—a sparse semidefinite programming relaxation of polynomial optimization problems [J]. ACM Transactions on Mathematical Software, 2008, 35(2):1-13.
[11] Hartley R, Zisserman A. Multiple view geometry in computer vision [M]. Cambridge: Cambridge University Press, 2003.
[12] Fitzgibbon A, Pilu M, Fisher R B. Direct leastspuares fitting of ellipses [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999, 21(5): 476-480.
[13] Zhang Z. A flexible new technique for camera calibration [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11): 1330-1344.
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