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» A Landmark Paper in Face Recognition
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PR
2010
141views more  PR 2010»
13 years 2 months ago
On the vulnerability of face verification systems to hill-climbing attacks
In this paper, we use a hill-climbing attack algorithm based on Bayesian adaption to test the vulnerability of two face recognition systems to indirect attacks. The attacking tech...
Javier Galbally, Chris McCool, Julian Fiérr...
IVC
2006
129views more  IVC 2006»
13 years 7 months ago
Measuring the performance of face localization systems
The purpose of Face localization is to determine the coordinates of a face in a given image. It is a fundamental research area in computer vision because it serves, as a necessary...
Yann Rodriguez, Fabien Cardinaux, Samy Bengio, Joh...
CVPR
2010
IEEE
14 years 15 days ago
A Novel Markov Random Field Based Deformable Model for Face Recognition
In this paper, a new scheme to address the face recognition problem is proposed. Different from traditional face recognition approaches which represent each facial image by a sing...
Shu Liao, Albert C.S. Chung
ICASSP
2010
IEEE
13 years 7 months ago
Removing illumination artifacts from face images using the nuisance attribute projection
Illumination induced appearance changes represent one of the open challenges in automated face recognition systems still significantly influencing their performance. Several tec...
Vitomir Struc, Bostjan Vesnicer, France Mihelic, N...
FGR
2004
IEEE
154views Biometrics» more  FGR 2004»
13 years 11 months ago
Face Recognition under Varying Lighting Conditions Using Self Quotient Image
In this paper, we introduce the concept of SelfQuotient Image (SQI) for robust face recognition under varying lighting conditions. It is based on the Quotient Image method [4][5] ...
Haitao Wang, Stan Z. Li, Yangsheng Wang