Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Masking and Demasking Agents01:19

Masking and Demasking Agents

2.8K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
2.8K
Prosopagnosia01:24

Prosopagnosia

375
Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
375
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

304
Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
304

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Deep neural networks for COVID-19 detection and diagnosis using images and acoustic-based techniques: a recent review.

Soft computing·2021
See all related articles

Related Experiment Video

Updated: Oct 12, 2025

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic
09:03

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic

Published on: November 7, 2020

5.1K

Efficient masked face recognition method during the COVID-19 pandemic.

Walid Hariri1

  • 1Labged Laboratory, Computer Science department, Badji Mokhtar Annaba University, Annaba, Algeria.

Signal, Image and Video Processing
|November 22, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for masked face recognition by removing occlusions and utilizing deep learning features. The approach achieves high recognition performance, addressing challenges posed by face masks during the COVID-19 pandemic.

Keywords:
COVID-19Deep learningFace recognitionMasked face

More Related Videos

Effects of Surgical Masks on Cardiopulmonary Function in Healthy Subjects
06:57

Effects of Surgical Masks on Cardiopulmonary Function in Healthy Subjects

Published on: February 12, 2021

3.4K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.0K

Related Experiment Videos

Last Updated: Oct 12, 2025

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic
09:03

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic

Published on: November 7, 2020

5.1K
Effects of Surgical Masks on Cardiopulmonary Function in Healthy Subjects
06:57

Effects of Surgical Masks on Cardiopulmonary Function in Healthy Subjects

Published on: February 12, 2021

3.4K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.0K

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Biometrics

Background:

  • The COVID-19 pandemic necessitates mask-wearing, significantly hindering traditional face recognition systems.
  • Developing robust face recognition solutions for masked individuals is crucial for security and public health applications.

Purpose of the Study:

  • To propose an effective method for masked face recognition that overcomes occlusion challenges.
  • To enhance the accuracy and reliability of face recognition systems in real-world scenarios with face masks.

Main Methods:

  • A novel approach combining occlusion removal with deep learning feature extraction.
  • Utilizing pre-trained Convolutional Neural Networks (CNNs) like VGG-16, AlexNet, and ResNet-50 for feature extraction from facial regions (eyes, forehead).
  • Applying the Bag-of-features paradigm for feature quantization and a Multilayer Perceptron (MLP) for classification.

Main Results:

  • The proposed method demonstrates high recognition performance on the Real-World-Masked-Face-Dataset.
  • Achieved superior results compared to existing state-of-the-art methods for masked face recognition.

Conclusions:

  • The developed technique offers a reliable solution for masked face recognition.
  • This research contributes to advancing biometric security in the context of widespread mask usage.