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» Boosting linear discriminant analysis for face recognition
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TIFS
2008
157views more  TIFS 2008»
13 years 7 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, ...
ICASSP
2011
IEEE
12 years 11 months ago
BEMD for expression transformation in face recognition
This work presents a novel methodology for the transformation of facial expressions, to assist face biometrics. It is known that identification using only one image per subject p...
Hoda Mohammadzade, Foteini Agrafioti, Jiexin Gao, ...
CAIP
2009
Springer
185views Image Analysis» more  CAIP 2009»
13 years 5 months ago
A New Gabor Phase Difference Pattern for Face and Ear Recognition
A new local feature based image representation method is proposed. It is derived from the local Gabor phase difference pattern (LGPDP). This method represents images by exploiting ...
Yimo Guo, Guoying Zhao, Jie Chen, Matti Pietik&aum...
IROS
2006
IEEE
239views Robotics» more  IROS 2006»
14 years 1 months ago
Development of a Facial Expression Imitation System
— In the last decade, face analysis, e.g. face recognition, face detection, face tracking and facial expression recognition, is a very lively and expanding research field. As com...
Do Hyoung Kim, Sung-Uk Jung, Kwang Ho An, Hui Sung...
PR
2008
144views more  PR 2008»
13 years 7 months ago
Kernel quadratic discriminant analysis for small sample size problem
It is generally believed that quadratic discriminant analysis (QDA) can better fit the data in practical pattern recognition applications compared to linear discriminant analysis ...
Jie Wang, Konstantinos N. Plataniotis, Juwei Lu, A...