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PAMI
2008
156views more  PAMI 2008»
13 years 7 months ago
Tied Factor Analysis for Face Recognition across Large Pose Differences
Face recognition algorithms perform very unreliably when the pose of the probe face is different from the gallery face: typical feature vectors vary more with pose than with identi...
Simon J. D. Prince, James H. Elder, Jonathan Warre...
ICAPR
2009
Springer
14 years 8 days ago
Analytic Phase-based Representation for Face Recognition
—A representation based on the phase of analytic image is proposed to address the issue of illumination variation in face recognition task. The problem of unwrapping in the compu...
Anil Kumar Sao, B. Yegnanarayana
FGR
2006
IEEE
121views Biometrics» more  FGR 2006»
14 years 1 months ago
Preliminary Face Recognition Grand Challenge Results
The goal of the Face Recognition Grand Challenge (FRGC) is to improve the performance of face recognition algorithms by an order of magnitude over the best results in Face Recogni...
P. Jonathon Phillips, Patrick J. Flynn, W. Todd Sc...
ICCV
2009
IEEE
13 years 5 months ago
Jointly estimating demographics and height with a calibrated camera
One important problem in computer vision is to provide a demographic description a person from an image. In practice, many of the state-of-the-art methods use only an analysis of ...
Andrew C. Gallagher, Andrew C. Blose, Tsuhan Chen
AMFG
2007
IEEE
231views Biometrics» more  AMFG 2007»
13 years 9 months ago
Face Recognition Based on Pose-Variant Image Synthesis and Multi-level Multi-feature Fusion
Pose variance remains a challenging problem for face recognition. In this paper, a scheme including image synthesis and recognition is proposed to improve the performance of automa...
Congcong Li, Guangda Su, Yan Shang, Yingchun Li, Y...