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

Jianwei Lu, Guohua Zhou, Jiaqun Zhu and Lei Xue

Mathematical Problems in Engineering, 2021, vol. 2021, 1-8

Abstract:

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.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:9914452

DOI: 10.1155/2021/9914452

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