Heterogeneous Visible-Thermal and Visible-Infrared Face Recognition Using Cross-Modality Discriminator Network and Unit-Class Loss

Heterogeneous face recognition (HFR) aims to match face images across different imaging domains such as visible-to-infrared and visible-to-thermal. Recently, the increasing utility of nonvisible imaging has increased the application prospects of HFR in areas such as biometrics, security, and surveil...

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Detalles Bibliográficos
Autores principales: Cheema, Usman, Ahmad, Mobeen, Han, Dongil, Moon, Seungbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933114/
https://www.ncbi.nlm.nih.gov/pubmed/35310577
http://dx.doi.org/10.1155/2022/4623368

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933114/
https://www.ncbi.nlm.nih.gov/pubmed/35310577
http://dx.doi.org/10.1155/2022/4623368

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