Facial-recognition algorithms: A literature review
P Kaur, K Krishan, SK Sharma… - Medicine, Science and …, 2020 - journals.sagepub.com
The face is an important part of the human body, distinguishing individuals in large groups of
people. Thus, because of its universality and uniqueness, it has become the most widely …
people. Thus, because of its universality and uniqueness, it has become the most widely …
Automated face recognition in forensic science: Review and perspectives
M Jacquet, C Champod - Forensic science international, 2020 - Elsevier
With recent technological innovations, the multiplication of captured images of criminal
events has brought the comparison of faces to the forefront of the judicial scene. Forensic …
events has brought the comparison of faces to the forefront of the judicial scene. Forensic …
3D face reconstruction: the road to forensics
3D face reconstruction algorithms from images and videos are applied to many fields, from
plastic surgery to the entertainment sector, thanks to their advantageous features. However …
plastic surgery to the entertainment sector, thanks to their advantageous features. However …
2D-3D facial image analysis for identification of facial features using machine learning algorithms with hyper-parameter optimization for forensics applications
Recognizing a face is a remarkable process that humans naturally use. Computer vision has
tried to resemble this ability of human vision as a biometric tool to identify humans …
tried to resemble this ability of human vision as a biometric tool to identify humans …
Likelihood ratios for deep neural networks in face comparison
A Macarulla Rodriguez, Z Geradts… - Journal of Forensic …, 2020 - Wiley Online Library
In this study, we aim to compare the performance of systems and forensic facial comparison
experts in terms of likelihood ratio computation to assess the potential of the machine to …
experts in terms of likelihood ratio computation to assess the potential of the machine to …
[HTML][HTML] FacialSCDnet: a deep learning approach for the estimation of subject-to-camera distance in facial photographs
Facial biometrics play an essential role in the fields of law enforcement and forensic
sciences. When comparing facial traits for human identification in photographs or videos, the …
sciences. When comparing facial traits for human identification in photographs or videos, the …
Deep learning features in facial identification and the likelihood ratio bound
Z Li, L Xie, G Wang - Forensic Science International, 2023 - Elsevier
In recent years, the score-based likelihood ratio (SLR) method for facial comparison has
attracted considerable research attention. This method relies on the match scores that are …
attracted considerable research attention. This method relies on the match scores that are …
Calibration of score based likelihood ratio estimation in automated forensic facial image comparison
Forensic facial image comparison lacks a methodological standardization and empirical
validation. We aim to address this problem by assessing the potential of machine learning to …
validation. We aim to address this problem by assessing the potential of machine learning to …
Two heads are better than one: Dual systems obtain better performance in facial comparison
Z Li, L Xie, H Song - Forensic Science International, 2023 - Elsevier
Forensic facial image comparison based on recognition algorithms has been widely applied
in forensic science. Previous researches have been concentrating on the cases of using …
in forensic science. Previous researches have been concentrating on the cases of using …
3D face reconstruction for forensic recognition-a survey
SM La Cava, G Orrù, T Goldmann… - 2022 26th …, 2022 - ieeexplore.ieee.org
3D face reconstruction algorithms from images and videos are applied to many fields, from
plastic surgery to the entertainment sector, thanks to their advantageous features. However …
plastic surgery to the entertainment sector, thanks to their advantageous features. However …