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Identity-aware convolutional neural networks for facial expression recognition 被引量:12
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作者 Chongsheng Zhang Pengyou Wang +1 位作者 Ke Chen Joni-Kristian Kamarainen 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2017年第4期784-792,共9页
Facial expression recognition is a hot topic in computer vision, but it remains challenging due to the feature inconsistency caused by person-specific 'characteristics of facial expressions. To address such a chal... Facial expression recognition is a hot topic in computer vision, but it remains challenging due to the feature inconsistency caused by person-specific 'characteristics of facial expressions. To address such a challenge, and inspired by the recent success of deep identity network (DeepID-Net) for face identification, this paper proposes a novel deep learning based framework for recognising human expressions with facial images. Compared to the existing deep learning methods, our proposed framework, which is based on multi-scale global images and local facial patches, can significantly achieve a better performance on facial expression recognition. Finally, we verify the effectiveness of our proposed framework through experiments on the public benchmarking datasets JAFFE and extended Cohn-Kanade (CK+). 展开更多
关键词 facial expression recognition deep learning CLASSIFICATION identity-aware
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