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A Pot of Gold: Rainbows as a Calibration Cue

机译:一壶金:彩虹作为校准提示

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Rainbows are a natural cue for calibrating outdoor imagery. While ephemeral, they provide unique calibration cues because they are centered exactly opposite the sun and have an outer radius of 42 degrees. In this work, we define the geometry of a rainbow and describe minimal sets of constraints that are sufficient for estimating camera calibration. We present both semi-automatic and fully automatic methods to calibrate a camera using an image of a rainbow. To demonstrate our methods, we have collected a large database of rainbow images and use these to evaluate calibration accuracy and to create an empirical model of rainbow appearance. We show how this model can be used to edit rainbow appearance in natural images and how rainbow geometry, in conjunction with a horizon line and capture time, provides an estimate of camera location. While we focus on rainbows, many of the geometric properties and algorithms we present also apply to other solar-refractive phenomena, such as parhelion, often called sun dogs, and the 22 degree solar halo.
机译:彩虹是校准室外图像的自然提示。在短暂的情况下,它们提供了独特的校准提示,因为它们的位置正好与太阳相对,并且其外部半径为42度。在这项工作中,我们定义了彩虹的几何形状,并描述了足以估计相机校准的最小约束集。我们介绍了使用彩虹图像校准相机的半自动和全自动方法。为了演示我们的方法,我们收集了一个大型的彩虹​​图像数据库,并使用它们来评估校准精度并创建彩虹外观的经验模型。我们将展示如何使用此模型来编辑自然图像中的彩虹外观,以及如何将彩虹几何形状与视线和捕获时间结合使用来估计摄像机的位置。当我们关注彩虹时,我们介绍的许多几何特性和算法也适用于其他太阳折射现象,例如常被称为太阳狗的太阳伞和22度太阳光晕。

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