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» A Landmark Paper in Face Recognition
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ICIP
2003
IEEE
14 years 9 months ago
Boosting linear discriminant analysis for face recognition
In this paper, we propose a new algorithm to boost performance of traditional Linear Discriminant Analysis (LDA)-based face recognition (FR) methods in complex FR tasks, where hig...
Juwei Lu, Konstantinos N. Plataniotis, Anastasios ...
ACCV
2009
Springer
14 years 2 months ago
Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles
Face recognition using image-set or video sequence as input tends to be more robust since image-set or video sequence provides much more information than single snapshot about the ...
Xi Li, Kazuhiro Fukui, Nanning Zheng
FGR
2008
IEEE
164views Biometrics» more  FGR 2008»
13 years 9 months ago
Colour invariants for machine face recognition
Illumination invariance remains the most researched, yet the most challenging aspect of automatic face recognition. In this paper we investigate the discriminative power of colour...
Ognjen Arandjelovic, Roberto Cipolla
PRL
2008
101views more  PRL 2008»
13 years 6 months ago
Illumination-robust face recognition using ridge regressive bilinear models
The performance of face recognition is greatly affected by illumination changes because intra-person variation of the captured images under different lighting conditions can be mu...
Dongsoo Shin, Hyung-Soo Lee, Daijin Kim
FGR
2008
IEEE
289views Biometrics» more  FGR 2008»
14 years 2 months ago
Gabor volume based local binary pattern for face representation and recognition
This paper presents a novel face representation and recognition approach. The face image is first decomposed by multi-scale and multi-orientation Gabor filters and local binary ...
Zhen Lei, ShengCai Liao, Ran He, Matti Pietikä...