Designing a Low-Resolution Face Recognition System for Long-Range Surveillance

2016 ◽  
Author(s):  
Yuxi Peng ◽  
Luuk Spreeuwers ◽  
Raymond Veldhuis
Keyword(s):  
Face Recognition ◽  
Long Range ◽  
Recognition System ◽  
Low Resolution ◽  
Face Recognition System

Automated, long-range, night/day, active-SWIR face recognition system

2014 ◽  
Author(s):  
Brian E. Lemoff ◽  
Robert B. Martin ◽  
Mikhail Sluch ◽  
Kristopher M. Kafka ◽  
Andrew Dolby ◽  
...  
Keyword(s):  
Face Recognition ◽  
Long Range ◽  
Recognition System ◽  
Face Recognition System

scholarly journals Low Resolution Face Recognition Using Generative Adversarial Network (Gan)

2020 ◽  
Author(s):  
Howard Martin ◽  
Suharjito
Keyword(s):  
Face Recognition ◽  
Recognition System ◽  
Fine Tuning ◽  
Low Resolution ◽  
Generative Adversarial Network ◽  
Resolution Image ◽  
The Past ◽  
Adversarial Network ◽  
Face Recognition System ◽  
Sr Method

Abstract Although face recognition system has achieved a very good performance in the past years, but Low Resolution Face Recognition (LRFR) is still challenging because low resolution image would decrease the accuracy. This research aimed to solved and get the best SR method to solved LRFR problem. YTF dataset used for fine tuning SR methods. While LFW dataset used for fine tuning and evaluating FaceNet model. The images would be increased using Res-Net GAN and RRDB GAN. Then the images would be recognized using FaceNet. The images that had been increased by RRDB GAN reached the highest accuracy 98.96 %.

scholarly journals Design of face recognition system based on CNN

2020 ◽  
Vol 1601 ◽  
pp. 052011
Author(s):  
Yong Li ◽  
Zhe Wang ◽  
Yang Li ◽  
Xu Zhao ◽  
Hanwen Huang
Keyword(s):  
Face Recognition ◽  
Recognition System ◽  
Face Recognition System
Sign in / Sign up

Export Citation Format

Share Document