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FGR
2008
IEEE
214views Biometrics» more  FGR 2008»
16 years 2 months ago
Normalized LDA for semi-supervised learning
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
Bin Fan, Zhen Lei, Stan Z. Li
FGR
2008
IEEE
184views Biometrics» more  FGR 2008»
16 years 2 months ago
Multi-attribute robust facial feature localization
In this paper, we focus on the reliable detection of facial fiducial points, such as eye, eyebrow and mouth corners. The proposed algorithm aims to improve automatic landmarking ...
Oya Çeliktutan, Hatice Cinar Akakin, Bü...
FGR
2008
IEEE
208views Biometrics» more  FGR 2008»
16 years 2 months ago
Unsupervised learning from local features for video-based face recognition
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
Ajmal Mian
FGR
2008
IEEE
111views Biometrics» more  FGR 2008»
16 years 2 months ago
Reducing the other-race effect through caricatures
We recognize faces from our own race better than those from another race. Although the relative contribution of different mechanisms (e.g. contact vs. attention) remains elusive, ...
Jobany Rodriguez, Heather Bortfeld, Ricardo Gutier...
FGR
2008
IEEE
195views Biometrics» more  FGR 2008»
16 years 2 months ago
Regularized active shape model for shape alignment
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...
Ran He, Zhen Lei, Xiaotong Yuan, Stan Z. Li