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» Resampling for Face Recognition
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105
Voted
ICMCS
2006
IEEE
122views Multimedia» more  ICMCS 2006»
15 years 6 months ago
An Improved Approach to the Line-Based Face Recognition
The line-based face recognition method is distinguished by its features, but its development and application is limited to some inherent drawbacks. This paper propose a method for...
Anlong Ming, Huadong Ma
88
Voted
ICB
2009
Springer
142views Biometrics» more  ICB 2009»
15 years 5 months ago
A Random Network Ensemble for Face Recognition
In this paper, we propose a random network ensemble for face recognition problem, particularly for images with a large appearance variation and with a limited number of training se...
Kwontaeg Choi, Kar-Ann Toh, Hyeran Byun
PCM
2007
Springer
169views Multimedia» more  PCM 2007»
15 years 7 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
88
Voted
ICMCS
2006
IEEE
124views Multimedia» more  ICMCS 2006»
15 years 6 months ago
Face Recognition using Energy Probability in DCT Domain
In this paper, we propose a novel feature extraction method for face recognition. This method is based on Discrete Cosine Transform (DCT), Energy Probability (EP), and Linear Disc...
Jean Choi, Yun-Su Chung, Ki-Hyun Kim, Jang-Hee Yoo
AMFG
2003
IEEE
203views Biometrics» more  AMFG 2003»
15 years 6 months ago
Illumination Normalization for Robust Face Recognition Against Varying Lighting Conditions
Evaluations of the state-of-the-art of both academic face recognition algorithms and commercial systems have shown that recognition performance of most current technologies degrad...
Shiguang Shan, Wen Gao, Bo Cao, Debin Zhao