Camera distortion is a critical factor affecting the accuracy of camera calibration.\nA conventional calibration approach cannot satisfy the requirement of a measurement system\ndemanding high calibration accuracy due to the inaccurate distortion compensation. This paper\npresents a novel camera calibration method with an iterative distortion compensation algorithm.\nThe initial parameters of the camera are calibrated by full-field camera pixels and the corresponding\npoints on a phase target. An iterative algorithm is proposed to compensate for the distortion. A 2D\nfitting and interpolation method is also developed to enhance the accuracy of the phase target.\nCompared to the conventional calibration method, the proposed method does not rely on a distortion\nmathematical model, and is stable and effective in terms of complex distortion conditions. Both the\nsimulation work and experimental results show that the proposed calibration method is more than\n100% more accurate than the conventional calibration method.
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