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ICIP
2007
IEEE
14 years 3 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»
13 years 9 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»
13 years 9 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
14 years 2 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»
13 years 8 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