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Analysis of the pencil of conics with double complex contact and its application to camera calibration

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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.

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References

  1. Meng X, Hu Z. A new easy camera calibration technique based on circular points [J]. Pattern Recognition, 2003, 36(5): 1155–1164.

    Article  MathSciNet  MATH  Google Scholar 

  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.

    Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Google Scholar 

  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.

    Google Scholar 

  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.

    Google Scholar 

  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.

    Google Scholar 

  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.

    Article  Google Scholar 

  9. Semple J, Kneebone G. Algebraic projective geometry [M]. Oxford: Clarendon Press, 1998.

    Google Scholar 

  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.

    Article  MathSciNet  Google Scholar 

  11. Hartley R, Zisserman A. Multiple view geometry in computer vision [M]. Cambridge: Cambridge University Press, 2003.

    Google Scholar 

  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.

    Article  Google Scholar 

  13. Zhang Z. A flexible new technique for camera calibration [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11): 1330–1344.

    Article  Google Scholar 

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Correspondence to Shen Cai  (蔡 棽).

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Foundation item: the National Basic Research Program (973) of China (No. 2011CB302203) and the National Natural Science Foundation of China (No. 60833009)

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Cai, S., Wang, Ch., Yan, Y. et al. Analysis of the pencil of conics with double complex contact and its application to camera calibration. J. Shanghai Jiaotong Univ. (Sci.) 18, 1–6 (2013). https://doi.org/10.1007/s12204-013-1361-x

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  • DOI: https://doi.org/10.1007/s12204-013-1361-x

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