On the Maximum Radius of Polynomial Lens Distortion

Matthew J. Leotta, David Russell, Andrew Matrai
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Abstract

Polynomial radial lens distortion models are widely used in image processing and computer vision applications to compensate for when straight lines in the world appear curved in an image. While polynomial models are used pervasively in software ranging from PhotoShop to OpenCV to Blender, they have an often overlooked behavior: polynomial models can fold back onto themselves. This property often goes unnoticed when simply warping to undistort an image. However, in applications such as augmented reality where 3D scene geometry is projected and distorted to overlay an image, this folding can result in a surprising behavior. Points well outside the field of view can project into the middle of the image. The domain of a radial distortion model is only valid up to some (possibly infinite) maximum radius where this folding occurs. This paper derives the closed form expression for the maximum valid radius and demonstrates how this value can be used to filter invalid projections or validate the range of an estimated lens model. Experiments on the popular Lensfun database demonstrate that this folding problem exists on 30% of lens models used in the wild.
关于多项式透镜畸变的最大半径
多项式径向透镜畸变模型广泛应用于图像处理和计算机视觉应用,用于补偿世界上的直线在图像中出现弯曲时的畸变。虽然多项式模型在从PhotoShop到OpenCV到Blender的软件中广泛使用,但它们有一个经常被忽视的行为:多项式模型可以折叠回自己。当仅仅通过扭曲来消除图像扭曲时,这个属性通常不会被注意到。然而,在增强现实等应用中,3D场景几何图形被投影和扭曲以覆盖图像,这种折叠可能会导致令人惊讶的行为。视野之外的点可以投射到图像的中间。径向畸变模型的域仅在发生这种折叠的某些(可能是无限的)最大半径范围内有效。本文导出了最大有效半径的封闭形式表达式,并演示了如何使用该值来过滤无效投影或验证估计透镜模型的范围。在流行的Lensfun数据库上的实验表明,在野外使用的30%的镜头模型上存在这种折叠问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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