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» An Associate-Predict Model for Face Recognition
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115
Voted
CVPR
2001
IEEE
16 years 3 months ago
Constructing Facial Identity Surfaces in a Nonlinear Discriminating Space
Recognising face with large pose variation is more challenging than that in a fixed view, e.g. frontal-view, due to the severe non-linearity caused by rotation in depth, selfshadi...
Yongmin Li, Shaogang Gong, Heather M. Liddell
SIBGRAPI
2009
IEEE
15 years 8 months ago
A Multi-linear Discriminant Analysis of 2D Frontal Face Images
We have designed and implemented a multi-linear discriminant method of constructing and quantifying statistically significant changes on human identity photographs. The method is...
Carlos E. Thomaz, Vagner do Amaral, Gilson Antonio...
137
Voted
WACV
2005
IEEE
15 years 7 months ago
Deformation Analysis for 3D Face Matching
Current two-dimensional image based face recognition systems encounter difficulties with large facial appearance variations due to the pose, illumination and expression changes. ...
Xiaoguang Lu, Anil K. Jain
109
Voted
CVPR
2003
IEEE
16 years 3 months ago
Independent Component Analysis in a Facial Local Residue Space
In this paper, we propose an ICA(Indepdendent Component Analysis) based face recognition algorithm, which is robust to illumination and pose variation. Generally, it is well known...
Tae-Kyun Kim, Hyunwoo Kim, Wonjun Hwang, Seok-Cheo...
ISVC
2007
Springer
15 years 8 months ago
Feature-Adaptive Motion Energy Analysis for Facial Expression Recognition
In this paper, we present a facial expression recognition method using feature-adaptive motion energy analysis. Our method is simplicityoriented and avoids complicated face model r...
Sungkyu Noh, Hanhoon Park, Yoonjong Jin, Jong-Il P...