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Computational method for correcting complex optical distortion based on FOV division

机译:基于FOV划分的校正复杂光学畸变的计算方法

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We propose a computational method for correcting complex optical distortion in off-axis optical systems, such as the optical systems found in head-mounted and head-up displays. The proposed method divides the wide field of view (FOV) into subsections, thereby allowing the distortion to be calculated for each small FOV. Instead of applying the conventional distortion model, the distortion coefficients for each small FOV can be calculated using a simple linear polynomial. In addition, in contrast to the conventional distortion coefficients that refer to the deviation between the real and paraxial image, the distortion coefficients employed by this method directly characterize the relationship between the object and its image. Thus, using the polynomial in the reverse manner repeatedly for each small FOV with the corresponding distortion coefficients, a pixel lookup table is obtained, which can be used to accurately compensate for the distortion in the optical system. This method avoids complicated computations, and there are no requirements for intrinsic or extrinsic parameters. Our experiments verified the effectiveness of the method where the root-mean-square deviation of the projected distorted straight lines was corrected from 23 to 65 pixels to approximately 1 pixel. (c) 2015 Optical Society of America
机译:我们提出一种用于校正离轴光学系统(例如头戴式显示器和平视显示器中使用的光学系统)中的复杂光学畸变的计算方法。所提出的方法将宽视场(FOV)分为多个子部分,从而允许为每个小FOV计算失真。代替应用常规失真模型,可以使用简单的线性多项式来计算每个小FOV的失真系数。另外,与涉及真实图像和近轴图像之间的偏差的常规失真系数相反,此方法采用的失真系数直接表征了对象及其图像之间的关系。因此,对于具有对应的畸变系数的每个小FOV,以相反的方式重复使用多项式,可以获得像素查找表,该表可以用于精确补偿光学系统中的畸变。该方法避免了复杂的计算,并且不需要内在或外在参数。我们的实验证实了该方法的有效性,该方法将投影的失真直线的均方根偏差从23像素校正为65像素,将像素校正为大约1像素。 (c)2015年美国眼镜学会

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