Classical and modern face recognition approaches: a complete review

W Ali, W Tian, SU Din, D Iradukunda… - Multimedia tools and …, 2021 - Springer
Human face recognition have been an active research area for the last few decades.
Especially, during the last five years, it has gained significant research attention from …

[PDF][PDF] Identification of malnutrition and prediction of BMI from facial images using real-time image processing and machine learning

TR Gadekallu, C Iwendi, C Wei… - IET Image Process, 2021 - pdfs.semanticscholar.org
Human faces contain useful information that can be used in the identification of age, gender,
weight etc. Among these biometrics, body mass index (BMI) and body weight are good …

Application of deep learning for quality of service enhancement in internet of things: A review

N Kimbugwe, T Pei, MN Kyebambe - Energies, 2021 - mdpi.com
The role of the Internet of Things (IoT) networks and systems in our daily life cannot be
underestimated. IoT is among the fastest evolving innovative technologies that are digitizing …

Evaluation of various state of the art head pose estimation algorithms for clinical scenarios

Y Hammadi, F Grondin, F Ferland, K Lebel - Sensors, 2022 - mdpi.com
Head pose assessment can reveal important clinical information on human motor control.
Quantitative assessment have the potential to objectively evaluate head pose and …

Unauthorized access detection system to the equipments in a room based on the persons identification by face recognition

Y Zennayi, S Benaissa, H Derrouz… - Engineering Applications of …, 2023 - Elsevier
Face recognition is a very active research topic due to the number of potential applications
that use this technique and the number of challenges that still require efforts to solve them …

Learning Transferable Compound Expressions from Masked AutoEncoder Pretraining

F Qiu, H Du, W Zhang, C Liu, L Li… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Video-based Compound Expression Recognition (CER) aims to identify compound
expressions in everyday interactions per frame. Unlike rapid progress in Facial Expression …

A hybridized feature extraction for COVID-19 multi-class classification on computed tomography images

H Abubakar, F Al-Turjman, ZS Ameen, AS Mubarak… - Heliyon, 2024 - cell.com
COVID-19 has killed more than 5 million individuals worldwide within a short time. It is
caused by SARS-CoV-2 which continuously mutates and produces more transmissible new …

A survey of face recognition based on convolutional neural network

RE Saragih, QH To - Indonesian Journal of Information Systems, 2022 - ojs.uajy.ac.id
Face recognition is one of the interesting research topics in the field of computer vision. In
recent years, deep learning methods, especially the Convolutional Neural Network, have …

An efficient automatic facial expression recognition using local neighborhood feature fusion

P Shanthi, S Nickolas - Multimedia Tools and Applications, 2021 - Springer
In computer vision, several feature extraction methods have been developed to differentiate
the variations of facial expressions. But the effect of the relationship among the neighboring …

Ancient thangka Buddha face recognition based on the Dlib machine learning library and comparison with secular aesthetics

Y Yang, F Fan - Heritage Science, 2023 - Springer
Presently, face recognition technology is rapidly advancing and has emerged as a crucial
field of research. Thangka, being a significant repository of Buddhist imagery, encompass a …