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A novel monocular calibration method for underwater vision measurement

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Abstract

Vision measurement systems have a reliable performance on ground, but it remains a challenge to apply commonly-used vision measurement systems (i.e. multi-camera systems and laser systems) in underwater environments. One of the most challenging issues is the transformation from an unscaled measurement to a scaled result, which is achieved by a calibration method and determinate the strategy used for underwater vision measurement. This paper proposes a novel monocular underwater calibration method underlying a simple underwater vision measurement system. Underwater unscaled measurement results are calculated by the dark channel prior model. These results are then processed by our calibration method, transforming the unscaled measurements to accurately scaled results. These measurement results finally are used to estimate the scaled 3D structure of underwater objects. Experimental results under natural open water show that our proposed method is reliable and efficient.

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Acknowledgements

This work is supported in part by the National Natural Science Foundation of China (No. 61563036, 61671201), the Fundamental Research Funds for the Central Universities (No. 2017B01914), the Marsden Fund of New Zealand.

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Authors and Affiliations

  1. College of computer and information, Hohai University, Nanjing, Jiangsu, China

    Zhe Chen & Huibin Wang

  2. Institute of Natural and Mathematical Sciences, Massey University, Auckland, New Zealand

    Ruili Wang, Wanting Ji & Ming Zong

  3. School of Information Engineering, Nanchang Institute of Technology, Nanchang, Jiangxi, China

    Tanghuai Fan

Authors
  1. Zhe Chen
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  2. Ruili Wang
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  3. Wanting Ji
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  4. Ming Zong
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  5. Tanghuai Fan
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  6. Huibin Wang
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Correspondence to Ruili Wang.

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Chen, Z., Wang, R., Ji, W. et al. A novel monocular calibration method for underwater vision measurement. Multimed Tools Appl 78, 19437–19455 (2019). https://doi.org/10.1007/s11042-018-7105-z

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  • DOI: https://doi.org/10.1007/s11042-018-7105-z

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