Computational Intelligence and Neuroscience

High-Performance Computing and Automatic Face Recognition


Publishing date
01 Oct 2022
Status
Published
Submission deadline
27 May 2022

Lead Editor

1Nanjing University of Aeronautics and Astronautics, Nanjing, China

2Persian Gulf University, Bushehr, Iran

3Chongqing University, Chongqing, China


High-Performance Computing and Automatic Face Recognition

Description

Automatic face recognition (AFR) is an increasingly popular field of computer technology research at present. It is widely applicable to daily life, with uses such as face access control systems, intelligent monitoring systems, human-computer interaction systems, and safe driving systems. In the future there will be more potential applications requiring a fully reliable AFR system. Therefore, the technology of the AFR system must be more mature in order to be widely used in practice.

AFR is a challenging task in the field of pattern recognition. In the past few decades, AFR technologies have achieved significant research results, which can be divided into three categories: intensity image-based algorithms, video-based algorithms, and 3D facial information-based algorithms. However, there are still many challenges to be faced in practical application. Natural factors of low resolution, expression and illumination changes, pose changes and occlusion will reduce the face recognition accuracy. In addition, there are facial expression recognition challenges in human-computer interaction, electronic health, and safe driving systems. There are also face recognition issues related to underlying computing machines, such as embedded systems, GPU servers, and systems with limited resources. In order to solve these problems and make AFR systems more reliable, further study is needed.

This Special Issue aims to provide a platform for researchers to study and develop novel automatic face recognition approaches. It aims to present state-of-the-art theories related to automatic face recognition and develop novel methods and applications to improve face recognition accuracy in diverse scenarios. We also aim to propose innovative applications of machine learning in face recognition and survey the recent progress in this field. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

  • Automatic face recognition, detection, and tracking
  • Face description
  • Face attributes recognition (including age and gender)
  • Face reconstruction
  • Face parsing
  • Facial expression recognition
  • Machine learning, deep learning, and continuous learning in automatic face recognition
  • Transformer neural networks in automatic face recognition
  • Transfer learning, multitask learning, cross-domain feature learning, and reinforcement learning in automatic face recognition

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 9328566
  • - Research Article

Construction of Digital Management Model of Personnel Archives Information Based on the Concept of Industry 4.0

Jiaonan Han
  • Special Issue
  • - Volume 2022
  • - Article ID 1792965
  • - Research Article

A Structural Design of a Child Seat Based on Morphological Elements and Ergonomics

Xiaoshuo Jiang | Xiangjia Meng
  • Special Issue
  • - Volume 2022
  • - Article ID 6161491
  • - Research Article

Boundary Determination of Lake-Type Wetland Park Based on GIS Multifactor Analysis

Guodong Chen | Peng Tang | Hao Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 8250649
  • - Research Article

Visual Multimedia Intelligent Computing System for Seismic Performance of Bridge Structure Based on Object-Oriented Technology

Xinliang Zheng | Yi Xie
  • Special Issue
  • - Volume 2022
  • - Article ID 1764507
  • - Research Article

Feature Matching Optimization of Multimedia Remote Sensing Images Based on Multiscale Edge Extraction

Yani Wang | Jinfang Dong | Bo Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 4308283
  • - Research Article

Application of Fuzzy Clustering Model in the Classification of Sports Training Movements

Bo Song
  • Special Issue
  • - Volume 2022
  • - Article ID 6393877
  • - Research Article

A BP Neural Network Algorithm for Multimedia Data Monitoring of Air Particulate Matter

Chunyi Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 6569279
  • - Research Article

Online English Teaching System under the Background of Epidemic Situation Based on Intelligent Feature Recognition Technology

Luoyun Chen | Weiwei Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 9489704
  • - Research Article

Evaluation of Physical Education Teaching Effect Based on Action Skill Recognition

Xia Ding | Wei Peng | Xiaoling Yi
  • Special Issue
  • - Volume 2022
  • - Article ID 6815102
  • - Research Article

Big Data Technology Oriented to Wetland Resource Ecosystem Value Evaluation

Lifang Fan

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