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» Using Component Features for Face Recognition
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Publication
256views
12 years 9 months ago
Facial Feature Detection Using Distance Vector Fields
A novel method for eye and mouth detection and eye center and mouth corner lo- calization, based on geometrical information is presented in this paper. First, a face detector is ...
Stylianos Asteriadis, Nikos Nikolaidis, Ioannis Pi...
ICIP
2007
IEEE
14 years 9 months ago
Three Dimensional Face Recognition using Wavelet Decomposition of Range Images
Interest in face recognition systems has increased significantly due to the emergence of significant commercial opportunities in surveillance and security applications. In this pa...
Sina Jahanbin, Hyohoon Choi, Alan C. Bovik, Kennet...
PRL
2007
147views more  PRL 2007»
13 years 7 months ago
Volume measure in 2DPCA-based face recognition
Two-dimensional principal component analysis (2DPCA) is based on the 2D images rather than 1D vectorized images like PCA, which is a classical feature extraction technique in face...
Jicheng Meng, Wenbin Zhang
IJON
2010
139views more  IJON 2010»
13 years 2 months ago
Multilinear principal component analysis for face recognition with fewer features
Jin Wang, Armando Barreto, Lu Wang, Yu Chen, Napht...
FGR
2006
IEEE
162views Biometrics» more  FGR 2006»
13 years 11 months ago
Hierarchical Ensemble of Gabor Fisher Classifier for Face Recognition
Gabor feature has been widely recognized as one of the best representations for face recognition. However, traditionally, it has to be reduced in dimension due to curse of dimensi...
Yu Su, Shiguang Shan, Xilin Chen, Wen Gao