Acta Optica Sinica, Volume. 42, Issue 12, 1215001(2022)

Underwater Light Field Camera Calibration Based on Multi-Layer Flat Refractive Model and Multi-Projection-Center Model

Xiaoqiang Zhang1、*, Liangtao Zhong1, Qiqi Leng1, Lingyan Ran2, and Hongyu Chu1
Author Affiliations
  • 1School of Information Engineering, Southwest University of Science and Technology, Mianyang 621000, Sichuan, China
  • 2School of Computer Science, Northwestern Polytechnical University, Xi′an 710129, Shaanxi, China
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    Figures & Tables(6)
    Model diagram of ray paths inside camera and those of scene in underwater light field camera calibration
    Real scene experimental data acquisition and ground truth value acquisition. (a) Real scene calibration data acquisition; (b) ground truth values of n and d0 obtained by Zhang’s method
    • Table 1. Quantitative analysis of calibration accuracy under different intermediate medium thickness conditions

      View table

      Table 1. Quantitative analysis of calibration accuracy under different intermediate medium thickness conditions

      d1 (in unitlength)Measurementnoise /pixeled0 /%en /(°)erepj /pixel
      0.36.211.93560.2997
      0.050.510.713.10160.4992
      0.714.073.38630.6983
      0.36.902.23250.2996
      0.100.59.672.39900.4991
      0.712.702.95750.6986
      0.35.021.41500.2996
      0.150.511.602.66920.4998
      0.717.233.97200.6995
    • Table 2. Quantitative comparison of calibration accuracy between proposed method and method in Ref. [12] under different number of sub-apertures

      View table

      Table 2. Quantitative comparison of calibration accuracy between proposed method and method in Ref. [12] under different number of sub-apertures

      CalibrationmethodNumber ofsub-aperturesed0 /%en /(°)erepj /pixel
      Proposed3×314.433.81140.4987
      Proposed5×59.672.39900.4991
      Proposed7×77.282.22800.4990
      Method inRef. [12]150.1210.75650.5381
    • Table 3. Quantitative analysis of calibration accuracy under different poses

      View table

      Table 3. Quantitative analysis of calibration accuracy under different poses

      PoseNo.groundtruth of ncalibrated nen /(°)groundtruthof d0 /mcalibratedd0 /med0 /%erepj /pixel
      1[0.3108-0.0138-1.0000]T[0.3221-0.0236-1.0000]T0.79360.33010.33160.450.3639
      2[-0.3419-0.0366-1.0000]T[-0.3450-0.0286-1.0000]T0.49050.34290.35232.730.3483
      3[0.0513-0.0182-1.0000]T[0.0550-0.0221-1.0000]T0.30460.36060.36451.100.3491
    • Table 4. Quantitative comparison of calibration accuracy between proposed method and method in Ref. [12]

      View table

      Table 4. Quantitative comparison of calibration accuracy between proposed method and method in Ref. [12]

      Pose No.Calibration methoded0 /%en /(°)
      1Method in Ref. [12]2.160.8104
      Proposed0.450.7936
      2Method in Ref. [12]2.531.2174
      Proposed2.730.4905
      3Method in Ref. [12]1.050.6617
      Proposed1.100.3046
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    Xiaoqiang Zhang, Liangtao Zhong, Qiqi Leng, Lingyan Ran, Hongyu Chu. Underwater Light Field Camera Calibration Based on Multi-Layer Flat Refractive Model and Multi-Projection-Center Model[J]. Acta Optica Sinica, 2022, 42(12): 1215001

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    Paper Information

    Category: Machine Vision

    Received: Nov. 15, 2021

    Accepted: Dec. 27, 2021

    Published Online: Jun. 7, 2022

    The Author Email: Zhang Xiaoqiang (xqzhang@swust.edu.cn)

    DOI:10.3788/AOS202242.1215001

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