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Using Internal Depth to Aid Stereoscopic Image Splicing Detection

Fouché and Olivier


(Citation)Citation information

M.-A. Fouché and M. S. Olivier. “Using Internal Depth to Aid Stereoscopic Image Splicing Detection”. In: Advances in Digital Forensics VIII. Ed. by G. Peterson and S. Shenoi. Springer, 2012, pp. 319–333


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.

(Authoritative version on publisher's site)Definitive version

The definitive version of the paper is available from the publisher.
DOI: 10.1007/978-3-642-33962-2_22

(BibTeX record)BibTeX reference

author={Mark-Anthony Fouch’e and Martin S Olivier},
title={Using Internal Depth to Aid Stereoscopic Image Splicing Detection},
booktitle={Advances in Digital Forensics VIII},
Editor={Gilbert Peterson and Sujeet Shenoi},
publisher={Springer} )