Cargando…
Reducing false positive rate with the help of scene change indicator in deep learning based real-time face recognition systems
In face recognition systems, light direction, reflection, and emotional and physical changes on the face are some of the main factors that make recognition difficult. Researchers continue to work on deep learning-based algorithms to overcome these difficulties. It is essential to develop models that...
Autores principales: | Kutlugün, Mehmet Ali, Şirin, Yahya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182539/ https://www.ncbi.nlm.nih.gov/pubmed/37362661 http://dx.doi.org/10.1007/s11042-023-15769-0 |
Ejemplares similares
-
Scene and human face recognition in the central vision of patients with glaucoma
por: Roux-Sibilon, Alexia, et al.
Publicado: (2018) -
False memories when viewing overlapping scenes
por: Děchtěrenko, Filip, et al.
Publicado: (2022) -
Deep Learning Scene Recognition Method Based on Localization Enhancement
por: Guo, Wei, et al.
Publicado: (2018) -
Those Virtual People all Look the Same to me: Computer-Rendered Faces Elicit a Higher False Alarm Rate Than Real Human Faces in a Recognition Memory Task
por: Kätsyri, Jari
Publicado: (2018) -
Does CT help in reducing RT-PCR false negative rate for COVID-19?
por: Kohli, Anirudh, et al.
Publicado: (2021)