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» On Modeling Variations for Face Authentication
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PAMI
2012
13 years 1 days ago
Probabilistic Models for Inference about Identity
—Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches....
Simon Prince, Peng Li, Yun Fu, Umar Mohammed, Jame...
CVPR
2005
IEEE
15 years 11 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...
ICB
2009
Springer
123views Biometrics» more  ICB 2009»
15 years 4 months ago
Multi-View Face Alignment Using 3D Shape Model for View Estimation
For multi-view face alignment (MVFA), the non-linear variation of shape and texture, and the self-occlusion of facial feature points caused by view change are the two major difficu...
Yanchao Su, Haizhou Ai, Shihong Lao
ACII
2005
Springer
15 years 3 months ago
Face Alignment Under Various Poses and Expressions
In this paper, we present a face alignment system to deal with various poses and expressions. In addition to global shape model, we use component shape model such as mouth shape mo...
Shengjun Xin, Haizhou Ai
AVSS
2006
IEEE
15 years 3 months ago
Feature Modelling of PCA Difference Vectors for 2D and 3D Face Recognition
This paper examines the the effectiveness of feature modelling to conduct 2D and 3D face recognition. In particular, PCA difference vectors are modelled using Gaussian Mixture Mod...
Chris McCool, Jamie Cook, Vinod Chandran, Sridha S...