Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms

Achieving the upper limits of face identification accuracy in forensic applications can minimize errors that have profound social and personal consequences. Although forensic examiners identify faces in these applications, systematic tests of their accuracy are rare. How can we achieve the most accu...

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Veröffentlicht in:	Proceedings of the National Academy of Sciences - PNAS Jg. 115; H. 24; S. 6171
Hauptverfasser:	Phillips, P Jonathon, Yates, Amy N, Hu, Ying, Hahn, Carina A, Noyes, Eilidh, Jackson, Kelsey, Cavazos, Jacqueline G, Jeckeln, Géraldine, Ranjan, Rajeev, Sankaranarayanan, Swami, Chen, Jun-Cheng, Castillo, Carlos D, Chellappa, Rama, White, David, O'Toole, Alice J
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 12.06.2018
Schlagworte:	Algorithms Biometric Identification - methods Face - anatomy & histology Forensic Sciences - methods Humans Machine Learning Reproducibility of Results face identification forensic science wisdom-of-crowds face recognition algorithm machine learning technology
ISSN:	1091-6490, 1091-6490
Online-Zugang:	Weitere Angaben
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