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» The CMU Pose, Illumination, and Expression (PIE) Database
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FGR
2006
IEEE
169views Biometrics» more  FGR 2006»
15 years 1 months ago
Local Linear Regression (LLR) for Pose Invariant Face Recognition
The variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably, which is well known as one of the bottlenecks in face recognition. ...
Xiujuan Chai, Shiguang Shan, Xilin Chen, Wen Gao
ICPR
2008
IEEE
15 years 4 months ago
Multilinear analysis based on image texture for face recognition
In this paper, a multilinear approach based on image texture for face recognition is present. First, we extract the texture features of the facial images using the Local Binary Pa...
Hu-chuan Lu, Hao Chen, Yen-wei Chen
CVPR
2010
IEEE
15 years 6 months ago
Morphable Reflectance Fields for Enhancing Face Recognition
In this paper, we present a novel framework to address the confounding effects of illumination variation in face recognition. By augmenting the gallery set with realistically re...
Ritwik Kumar, Michael Jones, Tim Marks
PAMI
2006
122views more  PAMI 2006»
14 years 9 months ago
Total Variation Models for Variable Lighting Face Recognition
In this paper, we present the logarithmic total variation (LTV) model for face recognition under varying illumination, including natural lighting conditions, where we rarely know t...
Terrence Chen, Wotao Yin, Xiang Sean Zhou, Dorin C...
ICCV
2005
IEEE
15 years 11 months ago
Using Eye Reflections for Face Recognition Under Varying Illumination
Face recognition under varying illumination remains a challenging problem. Much progress has been made toward a solution through methods that require multiple gallery images of ea...
Ko Nishino, Peter N. Belhumeur, Shree K. Nayar