Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: The Problem of Compensating for Changes in Illumination Direction
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
The CMU Pose, Illumination, and Expression Database
IEEE Transactions on Pattern Analysis and Machine Intelligence
Correlation Pattern Recognition
Correlation Pattern Recognition
Partial & Holistic Face Recognition on FRGC-II data using Support Vector Machine
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Illumination normalization using logarithm transforms for face authentication
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
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This paper proposes a class dependent 2D correlation filtering technique in frequency domain for illumination tolerant face recognition. The technique is based on the frequency domain correlation between phase spectrum of reconstructed image and the phase spectrum of optimum correlation filter. The optimization is achieved by minimizing the energy at the correlation plane due to resonstructed image and maximizing the corelation peak. The synthesis of optimum filter is developed by using the projecting image. Peak to side lobe ratio (PSR) is taken as the metric for recogntion and classification. The performance evaluation of this technique is validated by comparing performance of other unconstrained filtering techniques using benchmark databases (Yale B and PIE) and better results are obtained.