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» Comparisons between Human and Computer Recognition of Faces
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CVPR
2004
IEEE
16 years 1 months ago
Bayesian Face Recognition Using Support Vector Machine and Face Clustering
In this paper, we first develop a direct Bayesian based Support Vector Machine by combining the Bayesian analysis with the SVM. Unlike traditional SVM-based face recognition metho...
Zhifeng Li, Xiaoou Tang
AMFG
2003
IEEE
150views Biometrics» more  AMFG 2003»
15 years 3 months ago
Multi-Modal 2D and 3D Biometrics for Face Recognition
Results are presented for the largest experimental study to date that investigates the comparison and combination of 2D and 3D face data for biometric recognition. To our knowledg...
Kyong I. Chang, Kevin W. Bowyer, Patrick J. Flynn
CVPR
2005
IEEE
16 years 1 months ago
Face Recognition with Image Sets Using Manifold Density Divergence
In many automatic face recognition applications, a set of a person's face images is available rather than a single image. In this paper, we describe a novel method for face r...
Ognjen Arandjelovic, Gregory Shakhnarovich, John F...
ACML
2009
Springer
15 years 6 months ago
Coupled Metric Learning for Face Recognition with Degraded Images
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited per...
Bo Li, Hong Chang, Shiguang Shan, Xilin Chen
FGR
2006
IEEE
284views Biometrics» more  FGR 2006»
15 years 5 months ago
A 3D Facial Expression Database For Facial Behavior Research
Traditionally, human facial expressions have been studied using either 2D static images or 2D video sequences. The 2D-based analysis is incapable of handing large pose variations....
Lijun Yin, Xiaozhou Wei, Yi Sun, Jun Wang, Matthew...