Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Arnout Ruifrok"'
Autor:
Alice Towler, James D. Dunn, Sergio Castro Martínez, Reuben Moreton, Fredrick Eklöf, Arnout Ruifrok, Richard I. Kemp, David White
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Facial recognition errors can jeopardize national security, criminal justice, public safety and civil rights. Here, we compare the most accurate humans and facial recognition technology in a detailed lab-based evaluation and international pr
Externí odkaz:
https://doaj.org/article/6c7ad19d1cd44649b7f6797fb324e0ff
Publikováno v:
Forensic Science International: Synergy, Vol 9, Iss , Pp 100554- (2024)
Techniques from artificial intelligence (AI) can be used in forensic evidence evaluation and are currently applied in biometric fields. However, it is generally not possible to fully understand how and why these algorithms reach their conclusions. Wh
Externí odkaz:
https://doaj.org/article/544a6eea09dc43b6a44d2f741001123f
Publikováno v:
Forensic Science International: Synergy, Vol 2, Iss , Pp 540-562 (2020)
This review paper covers the forensic-relevant literature in imaging and video analysis from 2016 to 2019 as a part of the 19th Interpol International Forensic Science Managers Symposium. The review papers are also available at the Interpol website a
Externí odkaz:
https://doaj.org/article/8c7d28128f844764b7245001bd378170
Autor:
Alice Towler, James Daniel Dunn, Sergio Castro Martínez, Reuben Moreton, Fredrick Eklöf, Arnout Ruifrok, Richard Kemp, David White
Facial recognition errors jeopardize national security, criminal justice, public safety and civil rights. Here, we compare the most accurate humans and facial recognition technology in a detailed lab-based evaluation and international proficiency tes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eccfcd77886de74975c0d2e8311b0678
https://doi.org/10.31234/osf.io/fmznh
https://doi.org/10.31234/osf.io/fmznh
