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» A Landmark Paper in Face Recognition
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ICIP
2007
IEEE
14 years 2 months ago
Modeling Gabor Coefficients via Generalized Gaussian Distributions for Face Recognition
Gabor filters are biologically motivated convolution kernels that have been widely used in the field of computer vision and, specially, in face recognition during the last decad...
Daniel González-Jiménez, Fernando P&...
ACCV
2007
Springer
14 years 1 months ago
Recognition of Digital Images of the Human Face at Ultra Low Resolution Via Illumination Spaces
Recent work has established that digital images of a human face, collected under various illumination conditions, contain discriminatory information that can be used in classifica...
Jen-Mei Chang, Michael Kirby, Holger Kley, Chris P...
PCM
2004
Springer
187views Multimedia» more  PCM 2004»
14 years 1 months ago
A Novel Gabor-LDA Based Face Recognition Method
In this paper, a novel face recognition method based on Gabor-wavelet and linear discriminant analysis (LDA) is proposed. Given training face images, discriminant vectors are compu...
Yanwei Pang, Lei Zhang, Mingjing Li, Zhengkai Liu,...
ICPR
2010
IEEE
13 years 11 months ago
Monogenic Binary Pattern (MBP): A Novel Feature Extraction and Representation Model for Face Recognition
A novel feature extraction method, namely monogenic binary pattern (MBP), is proposed in this paper based on the theory of monogenic signal analysis, and the histogram of MBP (HMB...
Meng Yang, Lei Zhang, Lin Zhang, David Zhang
ICMLA
2007
13 years 9 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio