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Color correction and geometric calibration for multi-view images with feature correspondence

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Abstract

Color and geometry inconsistency between different views is an urgent problem in multi-view imaging applications. In this paper, we present a color correction and geometric calibration method for multi-view images on the basis of feature correspondences between views. First, keypoints in views are detected by using scale invariant feature transform, and accurately matched by bi-directional feature matching between difference views. Then multiplicative and additive errors between matching keypoints are calculated to achieve color correction. In addition, an affine transformation between minimum cost matching keypoints is established to achieve geometric calibration. The experimental results verify the effectiveness of the proposed method in color correction and geometric calibration, and a higher coding efficiency is obtained.

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References

  1. P. Merkle, A. Smolic, K. Muller, and T. Wiegand, IEEE Trans. on Circuits and Systems for Video Technology, 17 (2007), 1461.

    Article  Google Scholar 

  2. Ai-hong Zhang, Ting-ting Wang, and Zhi-gang Fan, Opt. Lett., 3 (2007), 0315.

    Article  Google Scholar 

  3. Y. Chang, S. Saito, and M. Nakajima, IEEE Trans. on Image Processing, 16 (2007), 329.

    Article  ADS  MathSciNet  Google Scholar 

  4. U. Fecker, M. Barkowsky, and A. Kaup, IEEE Trans. on Circuits and Systems for Video Technology, 18 (2008), 1258.

    Article  Google Scholar 

  5. Feng Shao, Gang-yi Jiang, and Mei Yu, IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, (2007), 969.

  6. Ying Wang, Guang-jun Zhang, and Jian-lin Wang, Journal of Optoelectronics. Laser, 19 (2008), 754. (in Chinese)

    Google Scholar 

  7. D. G. Lowe, International Journal of Computer Vision, 60 (2004), 91.

    Article  Google Scholar 

  8. Y. C. Chang, J. K. Reid, IEEE Trans. on Image Processing, 5 (1996), 1414.

    Article  ADS  Google Scholar 

  9. M. R. Luo, G. Cui, B. Rigg, Color Research and Application, 26 (2001), 340.

    Article  Google Scholar 

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Authors and Affiliations

  1. Faculty of Information Science and Engineering, Ningbo University, Ningbo, 315211, China

    Feng Shao  (邵枫), Gang-yi Jiang  (蒋刚毅) & Mei Yu  (郁梅)

  2. the State Key Lab. of New Software Technology, Nanjing University, Nanjing, 210093, China

    Gang-yi Jiang  (蒋刚毅) & Mei Yu  (郁梅)

Authors
  1. Feng Shao  (邵枫)
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  2. Gang-yi Jiang  (蒋刚毅)
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  3. Mei Yu  (郁梅)
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Corresponding author

Correspondence to Feng Shao  (邵枫).

Additional information

This work has been supported by the National Natural Science Foundation of China (No.60672073, 60872094), the Program for New Century Excellent Talents in University (NCET-06-0537), and the Natural Science Foundation of Ningbo Province (No.2007A610037, 2008A610016).

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Shao, F., Jiang, Gy. & Yu, M. Color correction and geometric calibration for multi-view images with feature correspondence. Optoelectron. Lett. 5, 232–235 (2009). https://doi.org/10.1007/s11801-009-8002-5

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  • DOI: https://doi.org/10.1007/s11801-009-8002-5

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