Abstract
Face recognition under changing lighting conditions and facial expression are a challenging problem in computer vision. The variations in illumination and facial expressions can dramatically reduce the performance of face recognition. In this paper, an efficient method for face recognition which is robust under illumination and facial expressions variations. The core of the algorithm based on dense correspondence which we used is characterized by LBP and regional gradient between images. Our experiment on the AR databases and ORL face databases, ORL databases as a supplement in this framework. The results show that the proposed approach is not only efficient but also outperforms the comparative methods.
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