Head poses and grimaces: Challenges for automated face identification algorithms?

•The performance of identification algorithms is susceptible to many factors.•Head rotation beyond a 15-degree angle pose challenges to automated systems.•An upward tilt of 10° and higher leads to a notable degradation in performance.•Only a smiling face produced consistently positive log-likelihood...

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Bibliographic Details
Published in:	Science & justice Vol. 64; no. 4; pp. 421 - 442
Main Authors:	Urbanova, Petra, Goldmann, Tomas, Cerny, Dominik, Drahansky, Martin
Format:	Journal Article
Language:	English
Published:	England Elsevier B.V 01.07.2024
Subjects:	Adult Algorithms Automated algorithms Automated Facial Recognition - methods Biometric Identification - methods Face - anatomy & histology Facial Expression Facial expressions Female Forensic image identification Head Movements - physiology Head pose Humans Image Processing, Computer-Assisted - methods Imaging, Three-Dimensional Male Middle Aged Pathology Posture - physiology Young Adult Facial expressions Automated algorithms Forensic image identification Head pose
ISSN:	1355-0306, 1876-4452, 1876-4452
Online Access:	Get full text
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