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» New Feature Extraction Approaches for Face Recognition
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ICPR
2010
IEEE
14 years 2 months ago
Learning Sparse Face Features : Application to Face Verification
We present a low resolution face recognition technique based on a Convolutional Neural Network approach. The network is trained to reconstruct a reference per subject image. In cl...
Pierre Buyssens, Marinette Revenu
CAIP
2009
Springer
221views Image Analysis» more  CAIP 2009»
14 years 4 months ago
Model Based Analysis of Face Images for Facial Feature Extraction
This paper describes a comprehensive approach to extract a common feature set from the image sequences. We use simple features which are easily extracted from a 3D wireframe model ...
Zahid Riaz, Christoph Mayer, Michael Beetz, Bernd ...
MVA
2007
170views Computer Vision» more  MVA 2007»
13 years 11 months ago
Adaptive Modified PCA for Face Recognition
In many real-world applications such as face recognition and mobile robotics, we need to use an adaptive version of feature extraction techniques. In this paper, we introduce an a...
Youness Aliyari Ghassabeh, Hamid Abrishami Moghadd...
ICPR
2008
IEEE
14 years 4 months ago
Establishing point correspondence using multidirectional binary pattern for face recognition
This paper presents a new Multidirectional Binary Pattern (MBP) for face recognition. Different from most Local Binary Pattern (LBP) related approaches which cluster LBP occurrenc...
Sanqiang Zhao, Yongsheng Gao
BIOID
2011
291views Biometrics» more  BIOID 2011»
13 years 1 months ago
Local Binary LDA for Face Recognition
Extracting discriminatory features from images is a crucial task for biometric recognition. For this reason, we have developed a new method for the extraction of features from imag...
Ivan Fratric, Slobodan Ribaric