Using Discriminant Eigenfeatures for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Enhanced Fisher Linear Discriminant Models for Face Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Discriminative Common Vectors for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theoretical and Experimental Analysis of Linear Combiners for Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
Regularization of LDA for face recognition: a post-processing approach
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
Post-processing on LDA's discriminant vectors for facial feature extraction
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Efficient face recognition using tensor subspace regression
Neurocomputing
Fusion of covariance matrices of PCA and FLD
Pattern Recognition Letters
PCA based immune networks for human face recognition
Applied Soft Computing
A rotation invariant face recognition method based on complex network
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Selective generation of Gabor features for fast face recognition on mobile devices
Pattern Recognition Letters
Face recognition using Weber local descriptors
Neurocomputing
Hi-index | 0.01 |
Linear discriminant analysis (LDA)-based methods have been very successful in face recognition, yet little investigation has been done on the fusion of different LDA methods. Combination of two LDA methods which performed LDA on distinctly different subspaces may be effective in further improving the recognition performance. In this paper we first present two novel LDA-based methods, post-processed Fisherfaces (pFisherfaces) and bi-directional PCA plus LDA (BDPCA+LDA). pFisherfaces uses 2D-Gaussian filter to smooth classical Fisherfaces, and BDPCA+LDA is a LDA performed in the BDPCA subspace. Then we propose a combination framework of these two LDA-based approaches. Two popular face databases, the ORL and the FERET, are used to evaluate the efficiency of the proposed combination framework. The results of our experiments indicate that the combination framework is superior to pFisherfaces, BDPCA+LDA, and other appearance-based methods in terms of recognition accuracy.