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» Multilinear Image Analysis for Facial Recognition
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ICCV
1999
IEEE
13 years 11 months ago
Principal Manifolds and Bayesian Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
Baback Moghaddam
CVPR
2003
IEEE
14 years 9 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...
AUTOID
2005
IEEE
14 years 1 months ago
Fully Automated Facial Symmetry Axis Detection in Frontal Color Images
In this paper, we consider the problem of automatically detecting a facial symmetry axis in what we will call a standard human face image (acquired when the subject is looking dir...
Xin Chen, Patrick J. Flynn, Kevin W. Bowyer

Lab
815views
14 years 10 months ago
Video/Image Modeling and Synthesis (VIMS) Lab
VIMS Lab is situated in Department of Computer & Information Sc, University of Delaware, Newark, DE. USA. At VIMS we work on various problems related to image/video processing...
ICPR
2004
IEEE
14 years 8 months ago
Recognition of Expression Variant Faces Using Weighted Subspaces
In the past decade or so, subspace methods have been largely used in face recognition ? generally with quite success. Subspace approaches, however, generally assume the training d...
Aleix M. Martínez, Yongbin Zhang