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A Pot of Gold: Rainbows as a Calibration Cue

机译:一罐金色: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:彩虹是校准户外图像的自然暗示。虽然短暂的,但它们提供独特的校准线索,因为它们与太阳的恰好相对,并且具有42度的外半径。在这项工作中,我们定义了彩虹的几何形状,并描述足以估计相机校准的最小约束集。我们展示了半自动和全自动的方法来使用彩虹的图像校准相机。为了展示我们的方法,我们已经收集了大量的彩虹图像数据库,并使用这些数据库来评估校准精度并创建彩虹外观的实证模型。我们展示了该模型如何用于编辑自然图像中的彩虹外观以及如何与地平线线和捕获时间结合彩虹几何形式,提供了对相机位置的估计。虽然我们专注于彩虹,我们所呈现的许多几何特性和算法也适用于其他太阳能屈光现象,例如帕赫里亚,通常被称为太阳狗,以及22度太阳能光环。

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