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Exposing Photo Manipulation Using Geometry and Shadows

机译:使用几何和阴影曝光照片操作

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It is increasingly easier to manipulate digital images by the sophisticated photo editing software. Often visual inspection cannot definitively distinguish manipulation from authentic images. This paper introduces a forensic technique that focuses on geometric and shadow color inconsistencies which arise when fake objects with shadows are inserted into an image or an object with its shadow in the image are modified. This paper analyzes three underlying geometric relations and shadow color characteristic constrains that occur in image scene. In particular, (ⅰ ) explore the property of vanishing point in linear perspective project, and evaluate the geometric consistent level of the image based on the uncertain degree of vanishing point;(ⅱ ) analyze the relation between illuminated object and its cast shadow which are modeled by the planar homology and use this constrain to estimate the image's geometric consistent level;(ⅲ ) locate tempered region by measure the K-L divergence between shadow pairs. Visually plausible forgery images demonstrate the performance of our proposed method.
机译:通过复杂的照片编辑软件来处理数字图像变得越来越容易。通常,目视检查无法将操纵与确定的图像区分开来。本文介绍了一种取证技术,该技术着眼于几何和阴影颜色不一致性,这种不一致性是在将带有阴影的伪造对象插入图像或修改图像中具有阴影的对象时出现的。本文分析了图像场景中出现的三种基本几何关系和阴影颜色特征约束。尤其是(ⅰ)探索线性透视项目中消失点的性质,并基于不确定的消失点程度来评估图像的几何一致性水平;(ⅱ)分析照明对象与其投射阴影之间的关系。通过平面同源性建模,并使用此约束来估计图像的几何一致性水平;(ⅲ)通过测量阴影对之间的KL散度来定位回火区域。视觉上合理的伪造图像证明了我们提出的方法的性能。

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