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TIFS
2008
157views more  TIFS 2008»
13 years 4 months ago
Subspace Approximation of Face Recognition Algorithms: An Empirical Study
We present a theory for constructing linear subspace approximations to face-recognition algorithms and empirically demonstrate that a surprisingly diverse set of face-recognition a...
Pranab Mohanty, Sudeep Sarkar, Rangachar Kasturi, ...
ICIP
2005
IEEE
14 years 6 months ago
Comparative study: face recognition on unspecific persons using linear subspace methods
Recently many Automatic Face Recognition (AFR) systems were developed for applications with unspecific persons, which is different from conventional pattern recognition problems wh...
Dahua Lin, Shuicheng Yan, Xiaoou Tang
ACCV
2007
Springer
13 years 10 months ago
Face Mis-alignment Analysis by Multiple-Instance Subspace
In this paper, we systematically study the effect of poorly registered faces on the training and inferring stages of traditional face recognition algorithms. We then propose a nov...
Zhiguo Li, Qingshan Liu, Dimitris N. Metaxas
FGR
2006
IEEE
255views Biometrics» more  FGR 2006»
13 years 8 months ago
Incremental Kernel SVD for Face Recognition with Image Sets
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...
Tat-Jun Chin, Konrad Schindler, David Suter
CVPR
2001
IEEE
14 years 6 months ago
A Nonparametric Statistical Comparison of Principal Component and Linear Discriminant Subspaces for Face Recognition
The FERET evaluation compared recognition rates for different semi-automated and automated face recognition algorithms. We extend FERET by considering when differences in recognit...
J. Ross Beveridge, Kai She, Bruce A. Draper, Geof ...