Geometric information from infrared images can complement the information about the measured infrared radiation. However, this requires geometric camera calibration. In this work, three calibration methods for infrared cameras are compared: a direct and an iterative estimation of the transformation between image and world coordinates and a complete camera calibration method using a specifically designed calibration target. The three methods are compared and the obtained performance for metric measurements on a plane is evaluated. The results indicate acceptable performance in the three cases, with the complete method clearly outperforming the two others with an average error of only 0.060 mm, which represents 0.08% error of the measured distance. (C) 2018 Optical Society of America
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