Improved Likelihood Ratios for Surveillance Video Face Recognition with Multimodal Feature Pairing-Reference-Cited by-同舟云学术

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Improved Likelihood Ratios for Surveillance Video Face Recognition with Multimodal Feature Pairing

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:2023 11th International Workshop on Biometrics and Forensics (IWBF)
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Author:

Rodríguez Andrea Macarulla¹,Geradts Zeno¹,Worring Marcel²,Unzueta Luis³

Affiliation:

1. Netherlands Forensic Institute,Digital and Biometric Traces,The Hague,The Netherlands

2. University of Amsterdam,Multimedia Analytics Lab Amsterdam,Amsterdam,The Netherlands

3. Basque Research and Technology Alliance (BRTA),Fundación Vicomtech,Donostia-San Sebastian,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10156869/10156876/10157791.pdf?arnumber=10157791

Reference26 articles.

1. SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance

2. MagFace: A Universal Representation for Face Recognition and Quality Assessment

3. From Biometric Scores to Forensic Likelihood Ratios

4. IARPA Janus Benchmark - C: Face Dataset and Protocol

5. Serfiq: Unsupervised estimation of face image quality based on stochastic embedding robustness;terhorst;Proceedings of the IEEE/CVF,2020

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1. The effects of document's format, size, and storage media on memory forensics;Forensic Science International: Digital Investigation;2024-03

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