Title
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.
Year
DOI
Venue
2012
10.1007/978-3-642-33962-2_22
ADVANCES IN DIGITAL FORENSICS VIII
Keywords
Field
DocType
Image forensics,stereoscopic images,splicing detection
Computer vision,Image manipulation,Computer graphics (images),Stereoscopy,Computer science,Composite image filter,Image splicing,Image forensics,Artificial intelligence,Graphics software,RNA splicing
Conference
Volume
ISSN
Citations 
383
1868-4238
1
PageRank 
References 
Authors
0.38
11
2
Name
Order
Citations
PageRank
Mark-Anthony Fouche1101.21
Martin S. Olivier246573.94