Deep Convolutional Neural Network Used in Single Sample per Person Face Recognition

Face recognition (FR) with single sample per person (SSPP) is a challenge in computer vision. Since there is only one sample to be trained, it makes facial variation such as pose, illumination, and disguise difficult to be predicted. To overcome this problem, this paper proposes a scheme combined tr...

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Detalles Bibliográficos
Autores principales: Zeng, Junying, Zhao, Xiaoxiao, Gan, Junying, Mai, Chaoyun, Zhai, Yikui, Wang, Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126063/
https://www.ncbi.nlm.nih.gov/pubmed/30210533
http://dx.doi.org/10.1155/2018/3803627

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126063/
https://www.ncbi.nlm.nih.gov/pubmed/30210533
http://dx.doi.org/10.1155/2018/3803627

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