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» Using a Markov Network to Recognize People in Consumer Image...
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ICIP
2007
IEEE
13 years 11 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
CVPR
2007
IEEE
14 years 6 months ago
Using Group Prior to Identify People in Consumer Images
While face recognition techniques have rapidly advanced in the last few years, most of the work is in the domain of security applications. For consumer imaging applications, perso...
Andrew C. Gallagher, Tsuhan Chen
CVPR
2008
IEEE
14 years 6 months ago
Clothing cosegmentation for recognizing people
Reseachers have verified that clothing provides information about the identity of the individual. To extract features from the clothing, the clothing region first must be localize...
Andrew C. Gallagher, Tsuhan Chen
ICARCV
2006
IEEE
420views Robotics» more  ICARCV 2006»
13 years 10 months ago
Recognizing People's Faces: from Human to Machine Vision
— As confirmed by recent neurophysiological studies, the use of dynamic information is extremely important for humans in visual perception of biological forms and motion. Apart ...
Massimo Tistarelli, Manuele Bicego, Enrico Grosso
ICIP
2001
IEEE
14 years 6 months ago
A novel hybrid face profile recognition system using the FERET and MUGSHOT databases
Face recognition has established itself as an important subbranch of pattern recognition within the field of computer science. Many state-of-the-art systems have focused on the ta...
Frank Wallhoff, Gerhard Rigoll, Payman Moallem