Low-Resolution Face Recognition for CCTV and Edge-Powered Smart Attendance Systems-Reference-Cited by-同舟云学术

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Low-Resolution Face Recognition for CCTV and Edge-Powered Smart Attendance Systems

Published:2024-07-02 Issue: Volume:27 Page:676-681
ISSN:
Container-title:2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Surantha Nico¹,Yose Edward²,Isa Sani Muhamad²

Affiliation:

1. Tokyo City University,Faculty of Science and Engineering,Department of Electrical, Electronics and Communication Engineering,Tokyo,Japan,158-8557

2. Bina Nusantara University,BINUS Graduate Program-Master of Computer Science,Computer Science Department,Jakarta,Indonesia,11480

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10633276/10633246/10633361.pdf?arnumber=10633361

Reference9 articles.

1. An Introduction to Biometric Recognition

2. School Crime and Punishment and the Implementation of Security Cameras: Findings from a National Longitudinal Study

3. Labeled faces in the wild: A database forstudying face recognition in unconstrained environments;Huang;Workshop on faces inReal-LifeImages: detection, alignment, and recognition,2008

4. FaceNet: A unified embedding for face recognition and clustering

5. Improved face super-resolution generative adversarial networks

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