Cargando…
Face Averages Enhance User Recognition for Smartphone Security
Our recognition of familiar faces is excellent, and generalises across viewing conditions. However, unfamiliar face recognition is much poorer. For this reason, automatic face recognition systems might benefit from incorporating the advantages of familiarity. Here we put this to the test using the f...
Autores principales: | Robertson, David J., Kramer, Robin S. S., Burton, A. Mike |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4373928/ https://www.ncbi.nlm.nih.gov/pubmed/25807251 http://dx.doi.org/10.1371/journal.pone.0119460 |
Ejemplares similares
-
Fraudulent ID using face morphs: Experiments on human and automatic recognition
por: Robertson, David J., et al.
Publicado: (2017) -
Incomplete faces are completed using a more average face
por: Kramer, Robin S. S., et al.
Publicado: (2022) -
Face Recognition by Metropolitan Police Super-Recognisers
por: Robertson, David J., et al.
Publicado: (2016) -
Research on the Privacy Security of Face Recognition Technology
por: Pang, Luning
Publicado: (2022) -
Error Rates in Users of Automatic Face Recognition Software
por: White, David, et al.
Publicado: (2015)