AIMC Topic: Automated Facial Recognition

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AD-VAE: Adversarial Disentangling Variational Autoencoder.

Sensors (Basel, Switzerland) Mar 4, 2025
Face recognition (FR) is a less intrusive biometrics technology with various applications, such as security, surveillance, and access control systems. FR remains challenging, especially when there is only a single image per person as a gallery datase...
Image Processing, Computer-Assisted Face Biometric Identification Humans Neural Networks, Computer Autoencoder Automated Facial Recognition Algorithms Deep Learning
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A Review of Machine Learning and Deep Learning Methods for Person Detection, Tracking and Identification, and Face Recognition with Applications.

Sensors (Basel, Switzerland) Feb 26, 2025
This paper provides a comprehensive analysis of recent developments in face recognition, tracking, identification, and person detection technologies, highlighting the benefits and drawbacks of the available techniques. To assess the state-of-art in t...
Humans Automated Facial Recognition Face Biometric Identification Machine Learning Deep Learning Facial Recognition
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A Tutorial on the Use of Artificial Intelligence Tools for Facial Emotion Recognition in R.

Multivariate behavioral research Feb 14, 2025
Automated detection of facial emotions has been an interesting topic for multiple decades in social and behavioral research but is only possible very recently. In this tutorial, we review three popular artificial intelligence based emotion detection ...
Automated Facial Recognition Humans Facial Expression Artificial Intelligence Facial Recognition Deep Learning Software Emotions Machine Learning Algorithms
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A facial expression recognition network using hybrid feature extraction.

PloS one Jan 16, 2025
Facial expression recognition faces great challenges due to factors such as face similarity, image quality, and age variation. Although various existing end-to-end Convolutional Neural Network (CNN) architectures have achieved good classification res...
Facial Recognition Automated Facial Recognition Face Facial Expression Humans Algorithms Neural Networks, Computer Image Processing, Computer-Assisted
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Facial Expression Recognition for Healthcare Monitoring Systems Using Neural Random Forest.

IEEE journal of biomedical and health informatics Jan 7, 2025
Facial expressions vary with different health conditions, making a facial expression recognition (FER) system valuable within a healthcare framework. Achieving accurate recognition of facial expressions is a considerable challenge due to the difficul...
Automated Facial Recognition Facial Expression Image Processing, Computer-Assisted Random Forest Humans Algorithms Databases, Factual Neural Networks, Computer
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Artificial intelligence facial recognition of obstructive sleep apnea: a Bayesian meta-analysis.

Sleep & breathing = Schlaf & Atmung Nov 30, 2024
PURPOSE: Conventional obstructive sleep apnea (OSA) diagnosis via polysomnography can be costly and inaccessible. Recent advances in artificial intelligence (AI) have enabled the use of craniofacial photographs to diagnose OSA. This meta-analysis aim...
Humans Artificial Intelligence Bayes Theorem Polysomnography Sleep Apnea, Obstructive Automated Facial Recognition
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Multi-loss, feature fusion and improved top-two-voting ensemble for facial expression recognition in the wild.

Neural networks : the official journal of the International Neural Network Society Nov 26, 2024
Facial expression recognition (FER) in the wild is a challenging pattern recognition task affected by the images' low quality and has attracted broad interest in computer vision. Existing FER methods failed to obtain sufficient accuracy to support th...
Voting Humans Pattern Recognition, Automated Algorithms Neural Networks, Computer Facial Expression Automated Facial Recognition
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MCCA-VNet: A Vit-Based Deep Learning Approach for Micro-Expression Recognition Based on Facial Coding.

Sensors (Basel, Switzerland) Nov 26, 2024
In terms of facial expressions, micro-expressions are more realistic than macro-expressions and provide more valuable information, which can be widely used in psychological counseling and clinical diagnosis. In the past few years, deep learning metho...
Facial Recognition Deep Learning Humans Algorithms Automated Facial Recognition Facial Expression
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Towards generalizable face forgery detection via mitigating spurious correlation.

Neural networks : the official journal of the International Neural Network Society Nov 17, 2024
The continuous advancement of face forgery techniques has caused a series of trust crises, posing a significant menace to information security and personal privacy. In response, deep learning is being employed to develop effective detection methods t...
Deception Automated Facial Recognition Face Humans Trust Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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RF sensing enabled tracking of human facial expressions using machine learning algorithms.

Scientific reports Nov 13, 2024
Automatic analysis of facial expressions has emerged as a prominent research area in the past decade. Facial expressions serve as crucial indicators for understanding human behavior, enabling the identification and assessment of positive and negative...
Humans Machine Learning Automated Facial Recognition Facial Expression Adult Algorithms Radio Waves Male Female Emotions
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