Multi-Block Color-Binarized Statistical Images for Single-Sample Face Recognition

Single-Sample Face Recognition (SSFR) is a computer vision challenge. In this scenario, there is only one example from each individual on which to train the system, making it difficult to identify persons in unconstrained environments, mainly when dealing with changes in facial expression, posture,...

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Detalles Bibliográficos
Autores principales: Adjabi, Insaf, Ouahabi, Abdeldjalil, Benzaoui, Amir, Jacques, Sébastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865363/
https://www.ncbi.nlm.nih.gov/pubmed/33494516
http://dx.doi.org/10.3390/s21030728

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865363/
https://www.ncbi.nlm.nih.gov/pubmed/33494516
http://dx.doi.org/10.3390/s21030728

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