Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/hal-01523699
Contributor : Hal Ifip <>
Submitted on : Tuesday, May 16, 2017 - 5:10:08 PM
Last modification on : Sunday, November 22, 2020 - 12:52:02 PM
Long-term archiving on: : Friday, August 18, 2017 - 12:12:18 AM

File

978-3-642-33962-2_22_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Mark-Anthony Fouche, Martin Olivier. Using Internal Depth to Aid Stereoscopic Image Splicing Detection. 8th International Conference on Digital Forensics (DF), Jan 2012, Pretoria, South Africa. pp.319-333, ⟨10.1007/978-3-642-33962-2_22⟩. ⟨hal-01523699⟩

Share

Metrics

Record views

134

Files downloads

244