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A Method for Camera Intrinsic Parameters Calibration Based on Subpixel Iteration Algorithm
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Hao-yang SUN1, 2, Zhi-qian WANG1, *, Cheng-wu SHEN1, Xu LIU1, 2, Wen-jia MA1, 2
Science Technology and Engineering | 2025, 25(12) : 5103 - 5109
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Science Technology and Engineering | 2025, 25(12): 5103-5109
• Papers·Automation and Computational Technology •
A Method for Camera Intrinsic Parameters Calibration Based on Subpixel Iteration Algorithm
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Hao-yang SUN1, 2, Zhi-qian WANG1, *, Cheng-wu SHEN1, Xu LIU1, 2, Wen-jia MA1, 2
Affiliations
  • 1 Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
  • 2 University of Chinese Academy of Sciences, Beijing 100049, China
Published: 2025-04-28 doi: 10.12404/j.issn.1671-1815.2403533
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In order to improve the accuracy of in-camera parameter calibration and reduce the error caused by inaccurate estimation of corner coordinates, a subpixel iterative corner optimization algorithm was proposed. By modeling the camera image, integrating the distortion mathematical model, and using the subpixel iterative algorithm, the gradient value changes of points in the search window were calculated and the corner coordinates were iteratively optimized to provide more accurate initial values for calibration. Combining with the optimized corner coordinates, Zhang's calibration method was used to solve the internal parameters, and the influence of corner points on the acquisition of diagonal points and camera calibration was discussed through experiments. The calibration accuracy was characterized by reprojection error, and the effectiveness of the iterative algorithm was tested. The experimental results show that the algorithm can effectively improve the accuracy of corner acquisition and the calibration accuracy of camera parameters by using fewer iterations.

calibration  /  iteration  /  internal parameter  /  reprojection error
Hao-yang SUN, Zhi-qian WANG, Cheng-wu SHEN, Xu LIU, Wen-jia MA. A Method for Camera Intrinsic Parameters Calibration Based on Subpixel Iteration Algorithm[J]. Science Technology and Engineering, 2025 , 25 (12) : 5103 -5109 . DOI: 10.12404/j.issn.1671-1815.2403533
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Year 2025 volume 25 Issue 12
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Article Info
doi: 10.12404/j.issn.1671-1815.2403533
  • Receive Date：2024-05-13
  • Online Date：2025-07-09
  • Published：2025-04-28
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  • Received：2024-05-13
  • Revised：2025-01-28
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    1 Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
    2 University of Chinese Academy of Sciences, Beijing 100049, China
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