NDLI: Image composite authentication using a single shadow observation

Content Provider	Springer Nature Link
Author	Cao, XiaoChun Zhao, HanDong Wang, Chuan Zhang, Wei
Copyright Year	2015
Abstract	The paper presents a novel method for image composite authentication based on a single shadow in an outdoor image. Existing methods based on the shadow geometry consistency involve more than two shadow observations. We relax the requirement of two shadow observations in the same scene. As a trade-off, we use the information in EXIF (Exchangeable Image File) based on which the ground truth sun elevation is calculated. We also estimate the sun elevation based on geometric constraints the scene provides, whose consistency serves as the cue to authenticate image forgery. It is the first attempt, to our best knowledge, to make use of sun elevation with shadow of one object to authenticate outdoor images. Also, the novel use of GPS (Global Positioning System), and Date and Time data of captured image makes image forensics possible even in one image containing a single shadow. Experimental results on both the synthetic data and visually plausible images demonstrate the performance of the proposed method.传统基于几何约束的取证方法需要从图像中提取两个或者更多的阴影来验证图像真伪, 但是文本提出了一种使用图像中一个阴影, 结合图像 EXIF (可交换图像文件) 信息的方法达到图像取证的目的.本方法首先根据图像中的几何约束计算太阳高度角, 选取图像中两组平行线分别计算其灭点得到平面水平线, 采集图像中物体及其阴影的始末坐标点计算光源位置, 结合相机得到太阳高度角; 其次, 根据 EXIF 信息中提供的拍摄日期时间计算时间角度, 再结合 EXIF 中提供的拍摄地点的经纬度可以计算太阳天体角度; 最后, 在对图像中物体及其阴影的始末点进行采集时, 每个点均采集 5 次, 因此共形成 125 个角度, 通过计算 125 个角度均值的置信概率求得图像的真实性概率.
Starting Page	1
Ending Page	13
Page Count	13
File Format	PDF
ISSN	1674733X
Journal	Science in China Series : Information Sciences
Volume Number	58
Issue Number	9
e-ISSN	18691919
Language	Chinese
Publisher	Science China Press
Publisher Date	2015-06-01
Publisher Place	Beijing
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	image forensics solar shadow sun elevation exchangeable image file geometry-based technique Information Systems and Communication Service
Content Type	Text
Resource Type	Article
Subject	Computer Science

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