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Camera calibration method based on circular array calibration board
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AI
DOI：10.1080/21642583.2023.2233562.png)
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Abstract
En 中文
Camera calibration will directly affect the accuracy and stability of the whole measurement system. According to the characteristics of circular array calibration plate, a camera calibration method based on circular array calibration plate is proposed in this paper. Firstly, subpixel edge detection algorithm is used for image preprocessing. Then, according to cross ratio invariance and geometric constraints, the projection point position of the center point is obtained. Finally, the calibration experiment was carried out. Experimental results show that under any illumination conditions, the average reprojection error of the center coordinates obtained by the improved calibration algorithm is less than 0.12 pixels, which is better than the traditional camera calibration algorithm.
Keywords:
Systems identification and signal processing
Image processing and vision
Theory-framework
Least squares methods
Optimal estimation
Journal
IF:
4.4
Papers:
486
Citations:
2.1K