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Facial Recognition

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Toward robust and privacy-enhanced facial recognition: A decentralized blockchain-based approach with GANs and deep learning.

Mathematical biosciences and engineering : MBE
In recent years, the extensive use of facial recognition technology has raised concerns about data privacy and security for various applications, such as improving security and streamlining attendance systems and smartphone access. In this study, a b...

Leveraging ResNet and label distribution in advanced intelligent systems for facial expression recognition.

Mathematical biosciences and engineering : MBE
With the development of AI (Artificial Intelligence), facial expression recognition (FER) is a hot topic in computer vision tasks. Many existing works employ a single label for FER. Therefore, the label distribution problem has not been considered fo...

Facial expression recognition using lightweight deep learning modeling.

Mathematical biosciences and engineering : MBE
Facial expression is a type of communication and is useful in many areas of computer vision, including intelligent visual surveillance, human-robot interaction and human behavior analysis. A deep learning approach is presented to classify happy, sad,...

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 ...

Convolutional neural networks trained with a developmental sequence of blurry to clear images reveal core differences between face and object processing.

Journal of vision
Although convolutional neural networks (CNNs) provide a promising model for understanding human vision, most CNNs lack robustness to challenging viewing conditions, such as image blur, whereas human vision is much more reliable. Might robustness to b...

Closing the gap between single-unit and neural population codes: Insights from deep learning in face recognition.

Journal of vision
Single-unit responses and population codes differ in the "read-out" information they provide about high-level visual representations. Diverging local and global read-outs can be difficult to reconcile with in vivo methods. To bridge this gap, we stud...

Passive imaging at 250 GHz for detection of face presentation attacks.

Optics express
Face presentation attacks are becoming more efficient since new 3D facial masks are used. Passive terahertz imaging offers specific physical properties that may improve presentation attack detection capabilities. The non-zero transmission capability ...

FPLP3D: Security robot for face recognition in the workplace environment using face pose detection assisted controlled FACE++ tool position: A three-dimensional robot.

Work (Reading, Mass.)
BACKGROUND: In recent years, several tracker systems have been developed to monitor a 3-dimensional skull position for facial action whereas, various tracker systems simultaneously analyze the single sequence of video, which can be provided with low-...

Facial Recognition Task for the Classification of Mild Cognitive Impairment with Ensemble Sparse Classifier.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Conventional methods for detecting mild cognitive impairment (MCI) require cognitive exams and follow-up neuroimaging, which can be time-consuming and expensive. A great need exists for objective and cost-effective biomarkers for the early detection ...