Complete discriminant evaluation and feature extraction in kernel space for face recognition
Machine Vision and Applications
Audio-visual human recognition using semi-supervised spectral learning and hidden Markov models
Journal of Visual Languages and Computing
Generalized discriminant analysis: a matrix exponential approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Prediction of eigenvalues and regularization of eigenfeatures for human face verification
Pattern Recognition Letters
SVM-based feature extraction for face recognition
Pattern Recognition
Raw tool identification through detected demosaicing regularity
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Face recognition using SIFT features
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Face identification using linear regression
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Regularized locality preserving projections and its extensions for face recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
An asymmetric classifier based on partial least squares
Pattern Recognition
Robust classifiers for data reduced via random projections
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Convergence of GCM and its application to face recognition
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
Expert Systems with Applications: An International Journal
Detection of tampering inconsistencies on mobile photos
IWDW'10 Proceedings of the 9th international conference on Digital watermarking
A novel training weighted ensemble (TWE) with application to face recognition
Applied Soft Computing
Performance evaluation of linear subspace methods for face recognition under illumination variation
Proceedings of The Fourth International C* Conference on Computer Science and Software Engineering
Face recognition based on the multi-scale local image structures
Pattern Recognition
Non-user-specific multivariate biometric discretization with medoid-based segmentation
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
An improved hybrid approach to face recognition by fusing local and global discriminant features
International Journal of Biometrics
A two-stage linear discriminant analysis for face-recognition
Pattern Recognition Letters
Measuring the statistical correlation inconsistencies in mobile images for tamper detection
Transactions on Data Hiding and Multimedia Security VII
A secure biometric discretization scheme for face template protection
Future Generation Computer Systems
Face recognition based on combination of human perception and local binary pattern
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
A complete and fully automated face verification system on mobile devices
Pattern Recognition
An integrated framework for human activity classification
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Statistical framework for facial pose classification
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Selective generation of Gabor features for fast face recognition on mobile devices
Pattern Recognition Letters
Pattern Recognition Letters
An efficient approach for face recognition based on common eigenvalues
Pattern Recognition
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This work proposes a subspace approach that regularizes and extracts eigenfeatures from the face image. Eigenspace of the within-class scatter matrix is decomposed into three subspaces: a reliable subspace spanned mainly by the facial variation, an unstable subspace due to noise and finite number of training samples and a null subspace. Eigenfeatures are regularized differently in these three subspaces based on an eigenspectrum model to alleviate problems of instability, over-fitting or poor generalization. This also enables the discriminant evaluation performed in the whole space. Feature extraction or dimensionality reduction occurs only at the final stage after the discriminant assessment. These efforts facilitate a discriminative and stable low-dimensional feature representation of the face image. Experiments comparing the proposed approach with some other popular subspace methods on the FERET, ORL, AR and GT databases show that our method consistently outperforms others.