Image Representation Using 2D Gabor Wavelets
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
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Overview of the Face Recognition Grand Challenge
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Redundant Class-Dependence Feature Analysis Based on Correlation Filters Using FRGC2.0 Data
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
Score normalization in multimodal biometric systems
Pattern Recognition
Fusing Gabor and LBP feature sets for kernel-based face recognition
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Kernel correlation filter based redundant class-dependence feature analysis (KCFA) on FRGC2.0 data
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
IEEE Transactions on Image Processing
Feature Fusion Using Multiple Component Analysis
Neural Processing Letters
Texture recognition by using a non-linear kernel
International Journal of Computer Applications in Technology
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Different approaches have been proposed over the last few years for improving holistic methods for face recognition. Some of them include color processing, different face representations and image processing techniques to increase robustness against illumination changes. One of the most successful strategies has shown to be the use of Gabor representation of the images. There has been also some research about the combination of different recognition methods, both at the feature and score levels. In this paper, we propose an effective combination scheme that is able to improve a single holistic method by fusing the recognition scores obtained from both natural face images and their Gabor representations. We have evaluated this scheme using some of the best known holistic approaches in the context of the Face Recognition Grand Challenge (FRGC). Results show at least 10% improvements in all cases. Moreover, this scheme also works when the scores are obtained from two different methods whenever one of them uses natural images and the other their Gabor representation. These results suggest that some complementariness exists between both representations, which can be easily exploited by fusion at the score level.