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» Pairwise Face Recognition
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ICIP
2005
IEEE
16 years 8 months ago
Expression-invariant face recognition via spherical embedding
Recently, it was proven empirically that facial expressions can be modelled as isometries, that is, geodesic distances on the facial surface were shown to be significantly less se...
Alexander M. Bronstein, Michael M. Bronstein, Ron ...
ICPR
2004
IEEE
16 years 7 months ago
Support Vector Machine with Local Summation Kernel for Robust Face Recognition
This paper presents Support Vector Machine (SVM) with local summation kernel for robust face recognition. In recent years, the effectiveness of SVM and local features is reported....
Kazuhiro Hotta
ICB
2009
Springer
140views Biometrics» more  ICB 2009»
16 years 1 months ago
A Discriminant Analysis Method for Face Recognition in Heteroscedastic Distributions
Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...
Zhen Lei, ShengCai Liao, Dong Yi, Rui Qin, Stan Z....
FGR
2006
IEEE
117views Biometrics» more  FGR 2006»
16 years 15 days ago
A Landmark Paper in Face Recognition
Good registration (alignment to a reference) is essential for accurate face recognition. The effects of the number of landmarks on the mean localization error and the recognition ...
G. M. Beumer, Qian Tao, Asker M. Bazen, Raymond N....
ICIP
2005
IEEE
16 years 2 days ago
View independent face recognition based on kernel principal component analysis of local parts
This paper presents a view independent face recognition method based on kernel principal component analysis (KPCA) of local parts. View changes induce large variation in feature s...
Koji Hotta