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International Conference in Communications, Signal Processing, and Systems

CSPS 2017: Communications, Signal Processing, and Systems pp 2365–2369Cite as

Binocular Calibration of Infrared Cameras

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

Abstract

Infrared binocular stereo vision is one of the focuses in the field of computer vision. A design scheme of infrared camera calibration target is proposed in this paper. The infrared calibration target is designed as a checkerboard layout by sticking square metal sheets on a wooden calibration board. The target can be used to calibrate infrared cameras at normal temperature successfully. The experiments show that the calibration accuracy reaches sub-pixel level, and it can solve the problem of complicated calibration process and low precision of infrared cameras.

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References

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Acknowledgements

This work was supported in part by Tianjin Edge Technology and Applied Basic Research Project (14JCYBJC15800) in China, in part by Tianjin Normal University Doctoral Foundation (52XB1603) and Tianjin Normal University Application Development Foundation (52XK1601) in China.

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Authors and Affiliations

  1. Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, 300387, China

    Jinjing Miao, Ying Tong, Zeng Liu, Kaikai Li, Hengxin Liu, Yajing Wang, Tingting Li & Guanyu Meng

Authors
  1. Jinjing Miao
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  2. Ying Tong
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  3. Zeng Liu
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  4. Kaikai Li
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  5. Hengxin Liu
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  6. Yajing Wang
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  7. Tingting Li
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  8. Guanyu Meng
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Corresponding author

Correspondence to Ying Tong .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, Texas, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  3. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Min Jia

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Xuhong Feng

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2019 Springer Nature Singapore Pte Ltd.

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Cite this paper

Miao, J. et al. (2019). Binocular Calibration of Infrared Cameras. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_288

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_288

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

  • eBook Packages: EngineeringEngineering (R0)

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