Acta Optica Sinica, Volume. 38, Issue 8, 0815004(2018)

Calibration Method for Large Field of View Image Matching Parameters Based on Non-Metric Correction

Zhiyuan Zhang*, Wei Liu*, Yang Zhang, Yongkang Lu, Hongtu Di, Fan Ye, and Zhenyuan Jia
Author Affiliations
  • School of Mechanical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
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    Figures & Tables(11)
    Layout strategy of feature points
    Distribution of feature points in Hough space
    Schematic of single point distortion correction
    Schematic of epipolar geometry
    Principle of RANSAC method
    Schematic of experimental system. (a) Binocular camera; (b) calibration target
    Matching results. (a) Small fluctuation area identification; (b) collinear feature point identification; (c) feature point matching results
    Distance bias of corner point and epipolar line with different methods
    • Table 1. Results of feature points extraction andnonmetric correction

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      Table 1. Results of feature points extraction andnonmetric correction

      Point numberLeft image /pixelRight image /pixelCorrected left image /pixelCorrected right image /pixel
      1(1146.3296,491.7768)(840.5358,447.0849)(1142.8455,488.4470)(835.2091,442.9604)
      2(1149.5898,413.0614)(842.9693,373.3974)(1145.9285,409.1640)(837.2593,368.5852)
      3(1233.4019,497.7639)(917.1522,447.4341)(1230.5533,494.6613)(912.6476,443.4858)
      304(3278.3531,2642.6279)(2587.0324,2562.6324)(3284.9730,2649.5132)(2588.7491,2566.4980)
    • Table 2. Comparison of fundamental matrices results

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      Table 2. Comparison of fundamental matrices results

      MethodFundamental matrix
      Proposed methodF=-3.2069×10-94.0815×10-7-5.9270×10-43.7207×10-6-3.3833×10-8-0.0139-5.9749×10-40.01220.9998
      Classic RANSACF=-3.6104×10-93.2269×10-7-4.4663×10-44.2009×10-7-3.3961×10-8-0.0130-6.6870×10-40.01140.9998
      8-pointF=-1.7171×10-93.6731×10-7-5.2393×10-43.7925×10-7-2.9383×10-8-0.0130-6.0924×10-40.01140.9999
      Calibration methodF=3.7275×10-9-5.1012×10-77.4736×10-4-4.5940×10-74.1281×10-80.01727.3055×10-4-0.0152-0.9997
    • Table 3. Comparison of matching error

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      Table 3. Comparison of matching error

      MethodAverage /pixelStandarddeviation /pixel
      Proposed method0.17460.0861
      Classical RANSAC0.49170.4942
      8-point0.34190.2487
      Calibration method10.00412.0401
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    Zhiyuan Zhang, Wei Liu, Yang Zhang, Yongkang Lu, Hongtu Di, Fan Ye, Zhenyuan Jia. Calibration Method for Large Field of View Image Matching Parameters Based on Non-Metric Correction[J]. Acta Optica Sinica, 2018, 38(8): 0815004

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    Paper Information

    Category: Machine Vision

    Received: Apr. 23, 2018

    Accepted: Jun. 7, 2018

    Published Online: Sep. 6, 2018

    The Author Email:

    DOI:10.3788/AOS201838.0815004

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