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ICIP
2007
IEEE
14 years 6 months ago
New Features to Identify Computer Generated Images
Discrimination of computer generated images from real images is becoming more and more important. In this paper, we propose the use of new features to distinguish computer generat...
Ahmet Emir Dirik, Sevinc Bayram, Husrev T. Sencar,...
ICMCS
2007
IEEE
169views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Identifying Computer Graphics using HSV Color Model and Statistical Moments of Characteristic Functions
Computer graphics generated by advanced rendering software come to appear so photorealistic that it has become difficult for people to visually differentiate them from photographi...
Wen Chen, Yun Q. Shi, Guorong Xuan
ICIP
2006
IEEE
14 years 6 months ago
Digital Image Forensics for Identifying Computer Generated and Digital Camera Images
We describe a digital image forensics technique to distinguish images captured by a digital camera from computer generated images. Our approach is based on the fact that image acq...
Sintayehu Dehnie, Husrev T. Sencar, Nasir D. Memon
ICCV
2005
IEEE
14 years 6 months ago
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
Mark Everingham, Andrew Zisserman
ICIP
2009
IEEE
13 years 2 months ago
Finger-knuckle-print: A new biometric identifier
This paper presents a new biometric identifier, namely finger-knuckle-print (FKP), for personal identity authentication. First a specific data acquisition device is constructed to...
Lin Zhang, Lei Zhang 0006, David Zhang