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» Feature Selection for Pose Invariant Face Recognition
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ICPR
2004
IEEE
14 years 9 months ago
Illumination and Expression Invariant Face Recognition with One Sample Image
Most face recognition approaches either assume constant lighting condition or standard facial expressions, thus cannot deal with both kinds of variations simultaneously. This prob...
Brian C. Lovell, Shaokang Chen
WCE
2007
13 years 9 months ago
Feature Reconstruction for Face Recognition Based on Sample Image Learning
—Pose problem is a big challenge for applying face recognition technology under real world conditions. In this paper, appearance based approach was proposed to recognize face acr...
Hongzhou Zhang, Yongping Li, Lin Wang, Chengbo Wan...
AVBPA
2003
Springer
106views Biometrics» more  AVBPA 2003»
14 years 1 months ago
A Face Recognition System Based on Local Feature Analysis
In this paper a completely automatic face recognition system is presented. The system is inspired by the elastic bunch graph method, but the fiducial point localization is complet...
Stefano Arca, Paola Campadelli, Raffaella Lanzarot...
ICIAR
2010
Springer
14 years 1 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
ICIP
2003
IEEE
14 years 10 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....