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» Components for Face Recognition
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CVPR
2006
IEEE
14 years 2 months ago
Multiple Face Model of Hybrid Fourier Feature for Large Face Image Set
The face recognition system based on the only single classifier considering the restricted information can not guarantee the generality and superiority of performances in a real s...
Wonjun Hwang, Gyu-tae Park, Jong Ha Lee, Seok-Cheo...
ICBA
2004
Springer
121views Biometrics» more  ICBA 2004»
14 years 4 months ago
Watch List Face Surveillance Using Transductive Inference
The open set recognition task, most challenging among the biometric tasks, operates under the assumption that not all the probes have mates in the gallery. It requires the availabi...
Fayin Li, Harry Wechsler
MCS
2007
Springer
14 years 5 months ago
Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...
Ángel Serrano, Isaac Martín de Diego...
ISNN
2004
Springer
14 years 4 months ago
Progressive Principal Component Analysis
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
Jun Liu, Songcan Chen, Zhi-Hua Zhou
ICIP
1999
IEEE
15 years 13 days ago
Face Recognition of Video Sequences in a Mpeg-7 Context Using a Global Eigen Approach
An integral scheme that provides a global eigen approach to the problem of face recognition of still images has been presented in [1]. The scheme is based on the representation of...
Luis Lorente, Luis Torres