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ICIP
2003
IEEE
14 years 9 months ago
Boosting linear discriminant analysis for face recognition
In this paper, we propose a new algorithm to boost performance of traditional Linear Discriminant Analysis (LDA)-based face recognition (FR) methods in complex FR tasks, where hig...
Juwei Lu, Konstantinos N. Plataniotis, Anastasios ...
ICPR
2008
IEEE
14 years 2 months ago
Scale invariant face recognition using probabilistic similarity measure
In video surveillance, the size of face images is very small. However, few works have been done to investigate scale invariant face recognition. Our experiments on appearance-base...
Zhifei Wang, Zhenjiang Miao
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
ICIAR
2004
Springer
14 years 27 days ago
Three-Dimensional Face Recognition: A Fishersurface Approach
Previous work has shown that principal component analysis (PCA) of three-dimensional face models can be used to perform recognition to a high degree of accuracy. However, experimen...
Thomas Heseltine, Nick Pears, Jim Austin
CAIP
1999
Springer
180views Image Analysis» more  CAIP 1999»
13 years 11 months ago
A Scale-Space Approach to Face Recognition from Profiles
A method for face recognition using profile images based on the scale-space filtering is presented in this paper. A grey-level image of profile is thresholded to produce a binary, ...
Zdravko Liposcak, Sven Loncaric