AIMC Topic: Face

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Predicting changes of incisor and facial profile following orthodontic treatment: a machine learning approach.

Head & face medicine Mar 28, 2025
BACKGROUND: Facial aesthetics is one of major motivations for seeking orthodontic treatment. However, even for experienced professionals, the impact and extent of incisor and soft tissue changes remain largely empirical. With the application of inter...
Orthodontics, Corrective Incisor Esthetics, Dental Cephalometry Face Malocclusion Neural Networks, Computer Machine Learning Female Young Adult Male Adolescent Humans
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Neural network-based ensemble approach for multi-view facial expression recognition.

PloS one Mar 19, 2025
In this paper, we developed a pose-aware facial expression recognition technique. The proposed technique employed K nearest neighbor for pose detection and a neural network-based extended stacking ensemble model for pose-aware facial expression recog...
Facial Expression Humans Bayes Theorem Neural Networks, Computer Automated Facial Recognition Algorithms Face
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Neural correlates of the uncanny valley effect for robots and hyper-realistic masks.

PloS one Mar 18, 2025
Viewing artificial objects and images that are designed to appear human can elicit a sense of unease, referred to as the 'uncanny valley' effect. Here we investigate neural correlates of the uncanny valley, using still images of androids (robots desi...
Photic Stimulation Evoked Potentials Masks Male Robotics Female Humans Face Young Adult Pattern Recognition, Visual Brain Adult
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DCAlexNet: Deep coupled AlexNet for micro facial expression recognition based on double face images.

Computers in biology and medicine Mar 12, 2025
Facial Micro-Expression Recognition (FER) presents challenges due to individual variations in emotional intensity and the complexity of feature extraction. While apex frames offer valuable emotional information, their precise role in FER remains uncl...
Male Facial Expression Deep Learning Convolutional Neural Networks Neural Networks, Computer Image Processing, Computer-Assisted Databases, Factual Automated Facial Recognition Female Face Humans
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Global Cross-Entropy Loss for Deep Face Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 11, 2025
Contemporary deep face recognition techniques predominantly utilize the Softmax loss function, designed based on the similarities between sample features and class prototypes. These similarities can be categorized into four types: in-sample target si...
Entropy Automated Facial Recognition Face Biometric Identification Databases, Factual Deep Learning Image Processing, Computer-Assisted Humans Algorithms
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Prediction of malnutrition in kids by integrating ResNet-50-based deep learning technique using facial images.

Scientific reports Mar 6, 2025
In recent times, severe acute malnutrition (SAM) in India is considered a serious issue as per UNICEF 2022 records. In that record, 35.5% of children under age 5 are stunted, 19.3% are wasted, and 32% are underweight. Malnutrition, defined as these t...
Male Infant Deep Learning Humans Female Image Processing, Computer-Assisted Body Mass Index Malnutrition Face Child, Preschool Child India
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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...
Deep Learning Image Processing, Computer-Assisted Automated Facial Recognition Face Humans Neural Networks, Computer Algorithms Biometric Identification Autoencoder
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Joint Driver State Classification Approach: Face Classification Model Development and Facial Feature Analysis Improvement.

Sensors (Basel, Switzerland) Feb 27, 2025
Driver drowsiness remains a critical factor in road safety, necessitating the development of robust detection methodologies. This study presents a dual-framework approach that integrates a convolutional neural network (CNN) and a facial landmark anal...
Algorithms Deep Learning Image Processing, Computer-Assisted Accidents, Traffic Sleep Stages Automobile Driving Humans Face Neural Networks, Computer
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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...
Biometric Identification Facial Recognition Deep Learning Humans Automated Facial Recognition Machine Learning Face
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Can AI-generated faces serve as fillers in eyewitness lineups?

Memory (Hove, England) Feb 20, 2025
To create a photo lineup for an eyewitness, police embed the suspect in a group of similar-looking individuals (i.e., fillers). If the witness selects the suspect from these photos of similar-looking people, then this provides evidence they remember ...
Crime Recognition, Psychology Male Face Mental Recall Humans Young Adult Artificial Intelligence Adult Female
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