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Infrared Camera Geometric Calibration: A Review and a Precise Thermal Radiation Checkerboard Target

Lookup NU author(s): Professor Gui Yun TianORCiD



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


© 2023 by the authors.Different infrared (IR) planar geometric calibration targets have been developed over the years that exploit a well-established and flexible optical camera geometric calibration procedure following the pinhole approximation. This geometric calibration is typically neglected in IR cameras, due to the relatively low resolution of thermal images and the complex IR targets needed for the geometric calibration in comparison to the optical targets. In this study, a thorough literature review of numerous IR camera geometric calibration targets, along with their respective outcomes, were summarized and leveraged to deliver a practical checkerboard target for less experienced end users, while offering the lowest reprojection errors. It was concluded that the fabrication of high emissivity contrast and precise square points of intersection within a checkerboard pattern extends the accuracy of capturing these control points in a thermal image for an optimized IR camera geometric calibration. Accordingly, two simple planar checkerboard targets were fabricated using laser engraving and ultraviolet (UV) printing technologies on a polished stainless steel (SS304) plate. The UV-printed checkerboard target on a polished metallic alloy delivered the lowest mean reprojection error (Formula presented.) of (Formula presented.) pixels and the lowest root mean square error (Formula presented.) of reprojection of (Formula presented.) pixels, with a standard deviation lower than (Formula presented.) pixels. The UV-printed design offers better accuracy than any other checkerboard calibration target, and comparable results to the best prominent circular pattern results reported in the literature.

Publication metadata

Author(s): ElSheikh A, Abu-Nabah BA, Hamdan MO, Tian G-Y

Publication type: Article

Publication status: Published

Journal: Sensors

Year: 2023

Volume: 23

Issue: 7

Online publication date: 26/03/2023

Acceptance date: 23/03/2023

Date deposited: 04/05/2023

ISSN (electronic): 1424-8220

Publisher: MDPI


DOI: 10.3390/s23073479

PubMed id: 37050539


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