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CVPR
2003
IEEE
16 years 5 months ago
Video-Based Face Recognition Using Adaptive Hidden Markov Models
While traditional face recognition is typically based on still images, face recognition from video sequences has become popular recently. In this paper, we propose to use adaptive...
Xiaoming Liu 0002, Tsuhan Chen
PR
2007
127views more  PR 2007»
15 years 3 months ago
Face recognition using spectral features
Face recognition is a challenging task in computer vision and pattern recognition. It is well-known that obtaining a low-dimensional feature representation with enhanced discrimin...
Fei Wang, Jingdong Wang, Changshui Zhang, James T....
142
Voted
ICPR
2010
IEEE
15 years 8 months ago
Learning Sparse Face Features : Application to Face Verification
We present a low resolution face recognition technique based on a Convolutional Neural Network approach. The network is trained to reconstruct a reference per subject image. In cl...
Pierre Buyssens, Marinette Revenu
126
Voted
WACV
2007
IEEE
15 years 10 months ago
On Channel Reliability Measure Training for Multi-Camera Face Recognition
Single-camera face recognition has severe limitations when the subject is not cooperative, or there are pose changes and different illumination conditions. Face recognition using ...
Binglong Xie, Visvanathan Ramesh, Ying Zhu, Terran...
ICIP
2001
IEEE
16 years 5 months ago
A comparison of discrete and continuous output modeling techniques for a pseudo-2D hidden Markov model face recognition system
Face recognition has become an important topic within the field of pattern recognition and computer vision. In this field a number of different approaches to feature extraction, m...
Frank Wallhoff, Stefan Eickeler, Gerhard Rigoll