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Jiaxiong Zhou, Jian Li, Yubo Yan, Lei Wu and Hao Xu
Large-scale facial expression datasets are primarily composed of real-world facial expressions. Expression occlusion and large-angle faces are two important problems affecting the accuracy of expression recognition. Moreover, because facial expression da...
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Dweepna Garg, Priyanka Jain, Ketan Kotecha, Parth Goel and Vijayakumar Varadarajan
In recent years, face detection has achieved considerable attention in the field of computer vision using traditional machine learning techniques and deep learning techniques. Deep learning is used to build the most recent and powerful face detection alg...
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Zewei Wang, Yongjun Zhang, Chengchang Pan and Zhongwei Cui
Principal Component Analysis Network (PCANet) is a lightweight deep learning network, which is fast and effective in face recognition. However, the accuracy of faces with occlusion does not meet the optimal requirement for two reasons: 1. PCANet needs to...
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Biwei Ding and Hua Ji
In this paper, a kernel-based robust disturbance dictionary (KRDD) is proposed for face recognition that solves the problem in modern dictionary learning in which significant components of signal representation cannot be entirely covered. KRDD can effect...
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