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» Using Component Features for Face Recognition
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FGR
2011
IEEE
227views Biometrics» more  FGR 2011»
14 years 6 months ago
Warp that smile on your face: Optimal and smooth deformations for face recognition
— In this work, we present novel warping algorithms for full 2D pixel-grid deformations for face recognition. Due to high variation in face appearance, face recognition is consid...
Tobias Gass, Leonid Pishchulin, Philippe Dreuw, He...
ACML
2009
Springer
15 years 9 months ago
Coupled Metric Learning for Face Recognition with Degraded Images
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited per...
Bo Li, Hong Chang, Shiguang Shan, Xilin Chen
IWBRS
2005
Springer
156views Biometrics» more  IWBRS 2005»
15 years 8 months ago
Texture Features in Facial Image Analysis
Abstract. While features used for texture analysis have been successfully used in some biometric applications, only quite few works have considered them in facial image analysis. T...
Matti Pietikäinen, Abdenour Hadid
ICIP
2003
IEEE
16 years 4 months ago
Optimal Gabor kernel location selection for face recognition
In local feature?based face recognition systems, the topographical locations of feature extractors directly affect the discriminative power of a recognizer. Better recognition acc...
Berk Gökberk, Ethem Alpaydin, Lale Akarun, M....
FGR
2008
IEEE
243views Biometrics» more  FGR 2008»
15 years 9 months ago
Real-time face recognition for human-robot interaction
The ability to recognize people is a key element for improving human-robot interaction in service robots. There are many approaches for face recognition; however, these assume unr...
Claudia Cruz, Luis Enrique Sucar, Eduardo F. Moral...