Fuzzy Sparse Autoencoder Framework for Single Image Per Person Face Recognition
نویسندگان
چکیده
منابع مشابه
Fuzzy Sparse Autoencoder Framework for Single Image Per Person Face Recognition.
The issue of single sample per person (SSPP) face recognition has attracted more and more attention in recent years. Patch/local-based algorithm is one of the most popular categories to address the issue, as patch/local features are robust to face image variations. However, the global discriminative information is ignored in patch/local-based algorithm, which is crucial to recognize the nondisc...
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ژورنال
عنوان ژورنال: IEEE Transactions on Cybernetics
سال: 2018
ISSN: 2168-2267,2168-2275
DOI: 10.1109/tcyb.2017.2739338