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AMFG
2005
IEEE
327views Biometrics» more  AMFG 2005»
15 years 3 months ago
AdaBoost Gabor Fisher Classifier for Face Recognition
This paper proposes the AdaBoost Gabor Fisher Classifier (AGFC) for robust face recognition, in which a chain AdaBoost learning method based on Bootstrap re-sampling is proposed an...
Shiguang Shan, Peng Yang, Xilin Chen, Wen Gao
71
Voted
AVSS
2006
IEEE
15 years 3 months ago
The Role of Motion Models in Super-Resolving Surveillance Video for Face Recognition
Although the use of super-resolution techniques has demonstrated the ability to improve face recognition accuracy when compared to traditional upsampling techniques, they are difï...
Frank Lin, Clinton Fookes, Vinod Chandran, Sridha ...
ICMCS
2006
IEEE
113views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Recognizing Faces in Recorded Meetings via MRC-Boosting
Person-based indices and timelines can enable fast and non-linear access to recorded meetings. This paper focuses on how to automatically construct those indices and timelines by ...
Xun Xu, Yong Rui, Thomas S. Huang
PCM
2007
Springer
169views Multimedia» more  PCM 2007»
15 years 3 months ago
Random Subspace Two-Dimensional PCA for Face Recognition
The two-dimensional Principal Component Analysis (2DPCA) is a robust method in face recognition. Much recent research shows that the 2DPCA is more reliable than the well-known PCA ...
Nam Nguyen, Wanquan Liu, Svetha Venkatesh
93
Voted
ICIP
2007
IEEE
15 years 4 months ago
Face Recognition using a Fast Model Synthesis from a Profile and a Frontal View
In our previous work we presented a new 2D-3D mixed face recognition scheme called Partial Principal Component Analysis (P2 CA) [1]. The main contribution of P2 CA is that it uses...
Antonio Rama, Francesc Tarres