E
Eilidh Noyes
Researcher at University of Texas at Dallas
Publications - 19
Citations - 646
Eilidh Noyes is an academic researcher from University of Texas at Dallas. The author has contributed to research in topics: Facial recognition system & Face perception. The author has an hindex of 9, co-authored 19 publications receiving 412 citations. Previous affiliations of Eilidh Noyes include University of York & University of Huddersfield.
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Journal ArticleDOI
Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms.
P. Jonathon Phillips,Amy N. Yates,Ying Hu,Carina A. Hahn,Eilidh Noyes,Kelsey Jackson,Jacqueline G. Cavazos,Géraldine Jeckeln,Rajeev Ranjan,Swami Sankaranarayanan,Jun-Cheng Chen,Carlos D. Castillo,Rama Chellappa,David White,Alice J. O'Toole +14 more
TL;DR: In a comprehensive comparison of face identification by humans and computers, it is found that forensic facial examiners, facial reviewers, and superrecognizers were more accurate than fingerprint examiners and students on a challenging face identification test.
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Face recognition by metropolitan police super-recognisers.
TL;DR: It is consistently found that the Metropolitan Police Force (London) recruits ‘super-recognisers’ perform at well above normal levels on tests of unfamiliar and familiar face matching, with degraded as well as high quality images.
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The effect of face masks and sunglasses on identity and expression recognition with super-recognizers and typical observers.
TL;DR: In this paper, the effect of face masks on face identification and emotion recognition in Western cultures was investigated, and the results of three experiments were shown to reveal little difference in performance for faces in masks compared with faces in sunglasses.
Journal ArticleDOI
Camera-to-subject distance affects face configuration and perceived identity.
Eilidh Noyes,Rob Jenkins +1 more
TL;DR: Reinstating valid distance cues mitigated the performance cost of familiar face matching, suggesting that perceptual constancy compensates for distance-related changes in optical face shape.
Journal ArticleDOI
Deliberate disguise in face identification.
Eilidh Noyes,Rob Jenkins +1 more
TL;DR: A new set of disguised face images is presented (the FAÇADE image set), in which models altered their appearance to induce specific identification errors and evasion disguise was especially effective and reduced identification performance for familiar observers as well as for unfamiliar observers.