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
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Unified Framework for Subspace Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic training using multistage clustering for face recognition
Pattern Recognition
KPCA for semantic object extraction in images
Pattern Recognition
Face recognition using Kekre's wavelets energy & performance analysis of feature vector variants
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Explicit integration of identity information from skin regions to improve face recognition
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
A rough neurocomputing approach for illumination invariant face recognition system
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Bayesian face revisited: a joint formulation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Combining texture and stereo disparity cues for real-time face detection
Image Communication
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In this paper, we propose a new face recognition approach combining a Bayesian probabilistic model and Gabor filter responses. Since both the Bayesian algorithm and the Gabor features can reduce intrapersonal variation through different mechanisms, we integrate the two methods to take full advantage of both approaches. The efficacy of the new method is demonstrated by the experiments on 1180 face images from the XM2VTS database and 1260 face images from the AR database.