Using Internal Depth to Aid Stereoscopic Image Splicing Detection - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2012

Using Internal Depth to Aid Stereoscopic Image Splicing Detection

Résumé

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.
Fichier principal
Vignette du fichier
978-3-642-33962-2_22_Chapter.pdf (1.31 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01523699 , version 1 (16-05-2017)

Licence

Paternité

Identifiants

Citer

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⟩
37 Consultations
106 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More