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Facial Recognition

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Facial expression recognition based on deep learning.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Facial expression recognition technology will play an increasingly important role in our daily life. Autonomous driving, virtual reality and all kinds of robots integrated into our life depend on the development of facial ex...

VGGFace-Ear: An Extended Dataset for Unconstrained Ear Recognition.

Sensors (Basel, Switzerland)
Recognition using ear images has been an active field of research in recent years. Besides faces and fingerprints, ears have a unique structure to identify people and can be captured from a distance, contactless, and without the subject's cooperation...

Facial feature point recognition method for human motion image using GNN.

Mathematical biosciences and engineering : MBE
To address the problems of facial feature point recognition clarity and recognition efficiency in different human motion conditions, a facial feature point recognition method using Genetic Neural Network (GNN) algorithm was proposed. As the technical...

Deepfake detection by human crowds, machines, and machine-informed crowds.

Proceedings of the National Academy of Sciences of the United States of America
The recent emergence of machine-manipulated media raises an important societal question: How can we know whether a video that we watch is real or fake? In two online studies with 15,016 participants, we present authentic videos and deepfakes and ask ...

Optimal Facial Feature Based Emotional Recognition Using Deep Learning Algorithm.

Computational intelligence and neuroscience
Humans have traditionally found it simple to identify emotions from facial expressions, but it is far more difficult for a computer system to do the same. The social signal processing subfield of emotion recognition from facial expression is used in ...

Facial Expression Recognition Based on LDA Feature Space Optimization.

Computational intelligence and neuroscience
With the development of artificial intelligence, facial expression recognition has become an important part of the current research due to its wide application potential. However, the qualities of the face features will directly affect the accuracy o...

Application of Higher Education Management in Colleges and Universities by Deep Learning.

Computational intelligence and neuroscience
The development of artificial intelligence (AI) has brought great convenience to people and has been widely used in the field of education. To monitor the classroom status of college students in real time and achieve the purpose of balanced distribut...

Intelligent Face Recognition System Based on Universal Design Concept.

Computational intelligence and neuroscience
The rapid development of science and technology, i.e., integrated modules that are actuators and sensors, promotes the comprehensive popularization of intelligent products in people's life. More particularly, with the advent of the hybrid of the Inte...

Automated Facial Expression Recognition Framework Using Deep Learning.

Journal of healthcare engineering
Facial expression is one of the most significant elements which can tell us about the mental state of any person. A human can convey approximately 55% of information nonverbally and the remaining almost 45% through verbal communication. Automatic fac...

MC-GCN: A Multi-Scale Contrastive Graph Convolutional Network for Unconstrained Face Recognition With Image Sets.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
In this paper, a Multi-scale Contrastive Graph Convolutional Network (MC-GCN) method is proposed for unconstrained face recognition with image sets, which takes a set of media (orderless images and videos) as a face subject instead of single media (a...