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In real world facial expression recognition, blurred face images could hamper achieving high performance due to the lack of distinct edges and textures. In this paper, we propose a new feature extraction method that is robust to blurred face images for facial expression recognition. In the proposed method, the facial feature is extracted adaptively depending on the image sharpness, aiming to achieve...
This paper presents a new facial expression recognition (FER) which exploits the effectiveness of color information and sparse representation. For extracting face feature, we compute color vector differences between color pixels so that they can effectively capture change of face appearance (e.g., skin texture). Through comparative and extensive experiment using two public FER databases (DBs), we...
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