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Review

Geometric Wide-Angle Camera Calibration: A Review and Comparative Study

by
Jianzhu Huai
1,
Yuxin Shao
1,
Grzegorz Jozkow
2,
Binliang Wang
1,
Dezhong Chen
3,*,
Yijia He
4 and
Alper Yilmaz
5
1
The Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
The Institute of Geodesy and Geoinformatics, Wroclaw University of Environmental and Life Sciences, 50-375 Wroclaw, Poland
3
GNSS Research Center of Wuhan University, 129 Luoyu Road, Wuhan 430079, China
4
Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Beijing 100190, China
5
The Department of Civil, Environmental, and Geodetic Engineering, The Ohio State University, Columbus, OH 43210, USA
*
Author to whom correspondence should be addressed.
Sensors 2024, 24(20), 6595; https://doi.org/10.3390/s24206595
Submission received: 28 July 2024 / Revised: 24 September 2024 / Accepted: 10 October 2024 / Published: 13 October 2024
(This article belongs to the Special Issue Feature Review Papers in Intelligent Sensors)

Abstract

Wide-angle cameras are widely used in photogrammetry and autonomous systems which rely on the accurate metric measurements derived from images. To find the geometric relationship between incoming rays and image pixels, geometric camera calibration (GCC) has been actively developed. Aiming to provide practical calibration guidelines, this work surveys the existing GCC tools and evaluates the representative ones for wide-angle cameras. The survey covers the camera models, calibration targets, and algorithms used in these tools, highlighting their properties and the trends in GCC development. The evaluation compares six target-based GCC tools, namely BabelCalib, Basalt, Camodocal, Kalibr, the MATLAB calibrator, and the OpenCV-based ROS calibrator, with simulated and real data for wide-angle cameras described by four parametric projection models. These tests reveal the strengths and weaknesses of these camera models, as well as the repeatability of these GCC tools. In view of the survey and evaluation, future research directions of wide-angle GCC are also discussed.
Keywords: geometric camera calibration; calibration tool; camera model; calibration target; calibration algorithm geometric camera calibration; calibration tool; camera model; calibration target; calibration algorithm
Graphical Abstract

Share and Cite

MDPI and ACS Style

Huai, J.; Shao, Y.; Jozkow, G.; Wang, B.; Chen, D.; He, Y.; Yilmaz, A. Geometric Wide-Angle Camera Calibration: A Review and Comparative Study. Sensors 2024, 24, 6595. https://doi.org/10.3390/s24206595

AMA Style

Huai J, Shao Y, Jozkow G, Wang B, Chen D, He Y, Yilmaz A. Geometric Wide-Angle Camera Calibration: A Review and Comparative Study. Sensors. 2024; 24(20):6595. https://doi.org/10.3390/s24206595

Chicago/Turabian Style

Huai, Jianzhu, Yuxin Shao, Grzegorz Jozkow, Binliang Wang, Dezhong Chen, Yijia He, and Alper Yilmaz. 2024. "Geometric Wide-Angle Camera Calibration: A Review and Comparative Study" Sensors 24, no. 20: 6595. https://doi.org/10.3390/s24206595

APA Style

Huai, J., Shao, Y., Jozkow, G., Wang, B., Chen, D., He, Y., & Yilmaz, A. (2024). Geometric Wide-Angle Camera Calibration: A Review and Comparative Study. Sensors, 24(20), 6595. https://doi.org/10.3390/s24206595

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