校准
重射误差
均方误差
像素
光学
棋盘
计算机视觉
人工智能
平面的
摄像机切除
均方根
计算机科学
材料科学
数学
物理
几何学
计算机图形学(图像)
图像(数学)
统计
量子力学
作者
Ahmed El-Sheikh,Bassam A. Abu-Nabah,Mohammad O. Hamdan,Gui Yun Tian
出处
期刊:Sensors
[Multidisciplinary Digital Publishing Institute]
日期:2023-03-26
卷期号:23 (7): 3479-3479
被引量:35
摘要
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 (MRE) of 0.057 pixels and the lowest root mean square error (RMSE) of reprojection of 0.063 pixels, with a standard deviation lower than 0.003 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.
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