Laser & Optoelectronics Progress, Volume. 58, Issue 8, 0810015(2021)

Restoring 3D Cylindrically Distorted QR Code Based on Perspective Transformation

Yuting Su, Changfei Yan, and Jing Liu*
Author Affiliations
  • School of Electronics and Information Engineering, Tianjin University, Tianjin 300072, China
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    Figures & Tables(10)
    Overall network framework
    Structure of finder pattern of QR code
    Illustration of transformation from pixel coordinate system to world coordinate system
    Illustration of transformation from image coordinate system to camera coordinate system
    Illustration of geometric relationship between hyper-parameters
    Effects of Z on coordinate value changing under different coordinate systems when the input point is (212,266)
    Restored images with the mixed distortions
    Comparison of recognition rate of different cylindrical restoration algorithms
    Qualitative comparisons of different cylindrical restoration algorithms
    • Table 1. Comparison of the remaining number of connected domains after different preprocessing operations

      View table

      Table 1. Comparison of the remaining number of connected domains after different preprocessing operations

      Operation29×29/129×29/229×29/341×41/141×41/241×41/2
      REAL6121453716967771712
      MF309856827519
      ER+DI153923767924
      MF+ER+DI142914747115
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    Yuting Su, Changfei Yan, Jing Liu. Restoring 3D Cylindrically Distorted QR Code Based on Perspective Transformation[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810015

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    Paper Information

    Category: Image Processing

    Received: Aug. 20, 2020

    Accepted: Sep. 14, 2020

    Published Online: Apr. 12, 2021

    The Author Email: Jing Liu (jliu_tju@tju.edu.cn)

    DOI:10.3788/LOP202158.0810015

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