Using Internal Depth to Aid Stereoscopic Image Splicing Detection

Abstract : Splicing is a common image manipulation technique, where parts of multiple images are combined to create a new composite image. Commercial image editing software enables almost anyone to splice images and create fake photographs. This paper investigates how the relationship between object distance and internal depth can aid in detecting spliced stereoscopic images. An equation is derived for predicting the distance at which an object loses internal depth. Experiments with stereoscopic images indicate that the analysis of this depth information can assist in detecting image splicing.
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Communication dans un congrès
Gilbert Peterson; Sujeet Shenoi. 8th International Conference on Digital Forensics (DF), Jan 2012, Pretoria, South Africa. Springer, IFIP Advances in Information and Communication Technology, AICT-383, pp.319-333, 2012, Advances in Digital Forensics VIII. 〈10.1007/978-3-642-33962-2_22〉
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Mark-Anthony Fouche, Martin Olivier. Using Internal Depth to Aid Stereoscopic Image Splicing Detection. Gilbert Peterson; Sujeet Shenoi. 8th International Conference on Digital Forensics (DF), Jan 2012, Pretoria, South Africa. Springer, IFIP Advances in Information and Communication Technology, AICT-383, pp.319-333, 2012, Advances in Digital Forensics VIII. 〈10.1007/978-3-642-33962-2_22〉. 〈hal-01523699〉

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