Results 21 to 30 of about 1,466 (208)
Age Range Estimation Using MTCNN and VGG-Face Model [PDF]
2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020 6 pages, 10 ...
Dipesh Gyawali +3 more
openaire +2 more sources
Gamma Effect in Face Detection Methods [PDF]
SVU-International Journal of Engineering Sciences and Applications, 2023 A face detection could be a technology capable of find a person's face in image or video frame. Face detection is one in all the foremost widely used computer vision applications.
Mohamed Abdel-Nasser +2 more
doaj +1 more source
Automated Analysis of Spontaneous Facial Expression Variability in Neurocognitive Disorders During Naturalistic Conversation [PDF]
Alzheimers DementAbstract Background A comprehensive investigation of facial expression variability during naturalistic conversations was conducted across individuals with behavioral variant frontotemporal dementia (bvFTD), Alzheimer's disease (AD), mild cognitive impairment (MCI), and healthy controls (HC).
Pressman P +5 more
europepmc +2 more sources
Intelligent masked-person detection system for epidemic prevention and control [PDF]
MATEC Web of Conferences, 2021 In order to control the epidemic and complete the supervision of increasing population, we devised a kind of face detection system. This system detected face with MTCNN and then it detect whether the person wears the mask with MobileNet.
Zhou Yizhuo +5 more
doaj +1 more source
Jurnal Teknologi Informasi dan Pendidikan, 2023 This study intends to create a Face Recognition system for a Socially Assistive Robot (SAR) created especially for autistic youngsters. Autism is a developmental disease that has varied degrees of impact on social interaction, speech, and behavior.
Noval Al Thoriq
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Acceleration of multi‐task cascaded convolutional networks
IET Image Processing, 2020 Multi‐task cascaded convolutional neural network (MTCNN) is a human face detection architecture which uses a cascaded structure with three stages (P‐Net, R‐Net and O‐Net).
Long‐Hua Ma +3 more
doaj +1 more source
A New Method of Disabling Face Detection by Drawing Lines between Eyes and Mouth
Computers, 2022 Face swapping technology is approaching maturity, and it is difficult to distinguish between real images and fake images. In order to prevent malicious face swapping and ensure the privacy and security of personal photos, we propose a new way to disable ...
Chongyang Zhang, Hiroyuki Kameda
doaj +1 more source
USER PROFILE MANAGEMENT USING DEEP LEARNING FOR ASSISTIVE HEADGEAR [PDF]
Proceedings on Engineering SciencesIndividuals with visual impairments face significant challenges in interacting with their environment, particularly in identifying and recognizing people.
Siddharth Dhondiyal +3 more
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Proposed Face Detection Classification Model Based on Amazon Web Services Cloud (AWS)
Journal of Engineering, 2023 One of the most important features of the Amazon Web Services (AWS) cloud is that the program can be run and accessed from any location. You can access and monitor the result of the program from any location, saving many images and allowing for faster ...
Mohanad Azeez Joodi +2 more
doaj +1 more source
Face Detection Based on Receptive Field Enhanced Multi-Task Cascaded Convolutional Neural Networks
IEEE Access, 2020 With the continuous development of deep learning, face detection methods have made the greatest progress. For real-time detection, cascade CNN based on the lightweight model is still the dominant structure that predicts face in a coarse-to-fine manner ...
Xiaochao Li, Zhenjie Yang, Hongwei Wu
doaj +1 more source