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Accurate calibration method for camera and projector in fringe patterns measurement system

机译:条纹图案测量系统中照相机和投影仪的精确校准方法

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摘要

The 3D measurement system based on fringe patterns is widely applied in diverse fields. The measurement accuracy is mainly determined by camera and projector calibration accuracy. In the existing methods, the system is calibrated by a dot calibration board with traditional image process algorithms. In this paper, an improved calibration method is proposed to increase camera and projector calibration accuracy simultaneously. To this end, first, a subpixel edge detection method is proposed to improve the detection accuracy of reference features for coarse calibration; second, an iterative compensation algorithm is developed to improve the detection accuracy of the reference feature centers for fine calibration. The experimental results demonstrate that the proposed calibration method can improve the calibration accuracy and measurement accuracy. (C) 2016 Optical Society of America
机译:基于条纹图案的3D测量系统已广泛应用于各个领域。测量精度主要取决于相机和投影仪的校准精度。在现有方法中,系统是通过点校准板使用传统的图像处理算法进行校准的。本文提出一种改进的校准方法,以同时提高相机和投影仪的校准精度。为此,首先,提出一种亚像素边缘检测方法,以提高参考特征的粗略校准精度。其次,开发了一种迭代补偿算法来提高参考特征中心的精细检测精度。实验结果表明,所提出的校准方法可以提高校准精度和测量精度。 (C)2016美国眼镜学会

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