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On the Equivalence of Moving Entrance Pupil and Radial Distortion for Camera Calibration

机译:运动入口瞳孔和径向畸变的等效性

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Radial distortion for ordinary (non-fisheye) camera lenses has traditionally been modeled as an infinite series function of radial location of an image pixel from the image center. While there has been enough empirical evidence to show that such a model is accurate and sufficient for radial distortion calibration, there has not been much analysis on the geometric/physical understanding of radial distortion from a camera calibration perspective. In this paper, we show using a thick-lens imaging model, that the variation of entrance pupil location as a function of incident image ray angle is directly responsible for radial distortion in captured images. Thus, unlike as proposed in the current state-of-the-art in camera calibration, radial distortion and entrance pupil movement are equivalent and need not be modeled together. By modeling only entrance pupil motion instead of radial distortion, we achieve two main benefits, first, we obtain comparable if not better pixel re-projection error than traditional methods, second, and more importantly, we directly back-project a radially distorted image pixel along the true image ray which formed it. Using a thick-lens setting, we show that such a back-projection is more accurate than the two-step method of undistorting an image pixel and then back-projecting it. We have applied this calibration method to the problem of generative depth-from-focus using focal stack to get accurate depth estimates.
机译:传统上,将普通(非鱼眼镜头)相机镜头的径向畸变建模为图像像素距图像中心的径向位置的无限级数函数。尽管有足够的经验证据表明这种模型对于径向畸变校准是准确且足够的,但从相机校准的角度来看,对径向畸变的几何/物理理解还没有太多分析。在本文中,我们使用厚镜成像模型显示出,入射光瞳位置的变化与入射图像射线角度的关系直接导致所捕获图像的径向变形。因此,与在相机校准的当前最新技术中所提出的不同,径向变形和入射光瞳移动是等效的,不需要一起建模。通过仅对入瞳运动而不是径向畸变建模,我们获得了两个主要好处,首先,我们获得了比传统方法更好甚至更好的像素重投影误差,其次,更重要的是,我们直接对径向失真的图像像素进行了反投影。沿着形成它的真实影像射线。通过使用厚镜设置,我们证明了这种反投影比不失真图像像素然后反投影的两步方法更准确。我们已经使用焦距堆栈将这种校准方法应用于生成焦点的深度问题,以获取准确的深度估计。

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