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
Facial Asymmetry Quantification for Expression Invariant Human Identification
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Journal of Cognitive Neuroscience
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In many face recognition tasks the pose and illumination conditions of the probe and gallery images are different. In most cases, gallery and probe images may only be two or three images, each captured from a different pose and under different illumination condition. The variation of the images caused by illumination and pose is acute. We propose a method, which reduce the illumination influence by the input image itself. The revised images can improve the face recognition performance. The basic idea of the method is to reconfigure the probe image in the subspace of the illumination space, so as to reduce the variation of the images caused by illumination. We utilized the fact that the face is almost bilateral symmetry. We also propose a method to estimate the direction of the face, which utilizes the fact too.