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

Avinash Kumar, N. Ahuja
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引用次数: 9

Abstract

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.
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摄像机标定中移动入口瞳孔与径向畸变的等价性研究
传统上,普通(非鱼眼)相机镜头的径向畸变被建模为图像像素距图像中心径向位置的无穷级数函数。虽然有足够的经验证据表明,这种模型是准确的,足以用于径向畸变校准,但从相机校准的角度对径向畸变的几何/物理理解的分析还不多。在本文中,我们使用厚透镜成像模型表明,入口瞳孔位置的变化作为入射图像射线角的函数是捕获图像径向畸变的直接原因。因此,与当前摄像机标定中提出的不同,径向畸变和入口瞳孔运动是等效的,不需要一起建模。通过只模拟入口瞳孔运动而不是径向畸变,我们获得了两个主要的好处,首先,我们获得了与传统方法相当的像素重投影误差,其次,更重要的是,我们直接沿着形成它的真实图像射线反投影径向畸变的图像像素。使用厚透镜设置,我们表明这种反向投影比两步方法更准确,即不扭曲图像像素,然后反向投影它。我们将这种校准方法应用于利用焦点叠加生成深度的问题,以获得准确的深度估计。
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