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PR
2007
145views more  PR 2007»
14 years 9 months ago
Face recognition using a kernel fractional-step discriminant analysis algorithm
Feature extraction is among the most important problems in face recognition systems. In this paper, we propose an enhanced kernel discriminant analysis (KDA) algorithm called kern...
Guang Dai, Dit-Yan Yeung, Yuntao Qian
71
Voted
ICPR
2004
IEEE
15 years 10 months ago
Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
Daniel Gatica-Perez, Dong Zhang, Stan Z. Li
MICAI
2000
Springer
15 years 1 months ago
Detection and Tracking of Facial Features in Video Sequences
This work presents a real time system for detection and tracking of facial features in video sequences. Such system may be used in visual communication applications, such as teleco...
Rogério Schmidt Feris, Teófilo Em&ia...
ICB
2007
Springer
176views Biometrics» more  ICB 2007»
15 years 1 months ago
A Novel Null Space-Based Kernel Discriminant Analysis for Face Recognition
The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetr...
Tuo Zhao, Zhizheng Liang, David Zhang, Yahui Liu
AVBPA
2005
Springer
226views Biometrics» more  AVBPA 2005»
15 years 3 months ago
Discriminant Analysis Based on Kernelized Decision Boundary for Face Recognition
A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
Baochang Zhang, Xilin Chen, Wen Gao