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Illumination normalization of face image for face recognition and facial expression recognition is one of the most frequent and difficult problems in image processing. In order to obtain a face image with normal illumination, our method firstly divides the input face image into sixteen local regions and calculates the edge level percentage in each of them.(More)
In recent years, because of the great potential applications in various areas such as human-computer interaction (HCI), safety, surveillance, and animation, facial expression recognition (FER) has become a hot topic in computer vision and pattern recognition. Although much progress has been made on FER and many algorithms have been studied such as PCA for(More)
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