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ICIP
2007
IEEE
15 years 6 months ago
Using a Markov Network to Recognize People in Consumer Images
Markov networks are an effective tool for the difficult but important problem of recognizing people in consumer image collections. Given a small set of labeled faces, we seek to ...
Andrew C. Gallagher, Tsuhan Chen
FGR
2008
IEEE
365views Biometrics» more  FGR 2008»
14 years 12 months ago
The POSTECH face database (PF07) and performance evaluation
We constructed a face database POSTECH face database (PF07). PF07 contains the true-color face images of 200 people, 100 men and 100 women, representing 320 various images (5 pose...
Hyoung-Soo Lee, Sungsoo Park, Bong-Nam Kang, Jongj...
PR
2006
209views more  PR 2006»
14 years 11 months ago
Low resolution face recognition based on support vector data description
In the face recognition process, it is important to deal with a facial image of low-resolution. For low-resolution face recognition, we propose a new method of extending the SVDD,...
Sang-Woong Lee, Jooyoung Park, Seong-Whan Lee
CVPR
2010
IEEE
15 years 5 months ago
Face Recognition Based on Image Sets
We introduce a novel method for face recognition from image sets. In our setting each test and training example is a set of images of an individual’s face, not just a single ima...
Hakan Cevikalp, Bill Triggs
PRL
2002
146views more  PRL 2002»
14 years 11 months ago
Face recognition with one training image per person
: Recently, a method called (PC)2 A was proposed to deal with face recognition with one training image per person. As an extension of the standard eigenface technique, (PC)2 A comb...
Jianxin Wu, Zhi-Hua Zhou