Using Internal Depth to Aid Stereoscopic Image Splicing Detection

  • Mark-Anthony Fouche
  • Martin Olivier
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 383)

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.

Keywords

Image forensics stereoscopic images splicing detection 

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Copyright information

© IFIP International Federation for Information Processing 2012

Authors and Affiliations

  • Mark-Anthony Fouche
    • 1
  • Martin Olivier
    • 1
  1. 1.University of PretoriaPretoriaSouth Africa

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