Joint Subspace and Low-Rank Coding Method for Makeup Face Recognition

Lu Jianwei; Zhou Guohua; Zhu JiaqunXue Lei

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Joint Subspace and Low-Rank Coding Method for Makeup Face Recognition

机译：Joint Subspace and Low-Rank Coding Method for Makeup Face Recognition

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摘要

Facial makeup significantly changes the perceived appearance of the face and reduces the accuracy of face recognition. To adapt to the application of smart cities, in this study, we introduce a novel joint subspace and low-rank coding method for makeup face recognition. To exploit more discriminative information of face images, we use the feature projection technology to find proper subspace and learn a discriminative dictionary in such subspace. In addition, we use a low-rank constraint in the dictionary learning. Then, we design a joint learning framework and use the iterative optimization strategy to obtain all parameters simultaneously. Experiments on real-world dataset achieve good performance and demonstrate the validity of the proposed method.

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《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2021年第18期|9914452.1-9914452.8|共8页
作者
Lu Jianwei; Zhou Guohua; Zhu JiaqunXue Lei;
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Changzhou Inst Ind Technol, Sch Artificial Intelligence, Sch Informat Engn, Changzhou 213164, Jiangsu, Peoples R China;

Changzhou Inst Ind Technol, Sch Artificial Intelligence, Sch Informat Engn, Changzhou 213164, Jiangsu, Peoples R China|Changzhou Univ, Sch Comp Sci & Artificial Intelligence, Changzhou 213164, Jiangsu, Peoples R China;

Changzhou Univ, Sch Comp Sci & Artificial Intelligence, Changzhou 213164, Jiangsu, Peoples R China;

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Joint Subspace and Low-Rank Coding Method for Makeup Face Recognition

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