Improved likelihood ratios for face recognition in surveillance video by multimodal feature pairing-Reference-Cited by-同舟云学术

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Improved likelihood ratios for face recognition in surveillance video by multimodal feature pairing

Published:2024 Issue: Volume:8 Page:100458
ISSN:2589-871X
Container-title:Forensic Science International: Synergy
language:en
Short-container-title:Forensic Science International: Synergy

Author:

Macarulla Rodriguez Andrea^ORCID,Geradts Zeno,Worring Marcel,Unzueta Luis

Funder

Horizon 2020

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Reference29 articles.

1. From facial images of different quality to score based lr;Ruifrok;FSI,2022

2. Automated face recognition in forensic science: review and perspectives;Jacquet;Forensic Sci. Int.,2020

3. Deep-learned faces: a survey;Wickrama Arachchilage;EURASIP Journal on Image and Video Processing,2020

4. Labeled faces in the wild: a database forstudying face recognition in unconstrained environments;Huang,2008

5. Keyframe extraction based on face quality measurement and convolutional neural network for efficient face recognition in videos;Abed;MTA,2021

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