Lightweight convolutional neural network model for human face detection in risk situations

M Wieczorek, J Siłka, M Woźniak… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In this article, we propose a model of face detection in risk situations to help rescue teams
speed up the search of people who might need help. The proposed lightweight …

Computer‐Aided Diagnostics of Heart Disease Risk Prediction Using Boosting Support Vector Machine

E Owusu, P Boakye-Sekyerehene… - Computational …, 2021 - Wiley Online Library
Heart diseases are a leading cause of death worldwide, and they have sparked a lot of
interest in the scientific community. Because of the high number of impulsive deaths …

Аналитический обзор методов распознавания эмоций по выражениям лица человека

ЕВ Рюмина, АА Карпов - Научно-технический вестник …, 2020 - cyberleninka.ru
Распознавание эмоций человека по мимике его лица является важной научно-
исследовательской проблемой, которая охватывает множество областей и дисциплин …

Analytical review of methods for emotion recognition by human face expressions

V Ryumina Elena - Journal Scientific and Technical Of Information …, 2020 - ntv.ifmo.ru
Recognition of human emotions by facial expressions is an important research problem that
covers many areas and disciplines, such as computer vision, artificial intelligence, medicine …

Towards a super-resolution based approach for improved face recognition in low resolution environment

N Singh, SS Rathore, S Kumar - Multimedia Tools and Applications, 2022 - Springer
The video surveillance activity generates a vast amount of data, which can be processed to
detect miscreants. The task of identifying and recognizing an object in surveillance data is …

[PDF][PDF] Deteksi spoofing wajah menggunakan Faster R-CNN dengan arsitektur Resnet50 pada video

S Megawan, WS Lestari - Jurnal Nasional Teknik Elektro Dan …, 2020 - researchgate.net
Face detection is a main and important process in the field of face recognition that has been
widely studied. The purpose of face detection is to determine the presence and mark the …

Iris feature extraction using three-level Haar wavelet transform and modified local binary pattern

P Podder, MRH Mondal, J Kamruzzaman - Applications of Computational …, 2022 - Elsevier
In this chapter, a novel feature extraction method is proposed for faster iris recognition. This
new method is a hybrid process combining three-level Haar wavelet transform (HWT) and …

Real-time facial recognition using SURF-FAST

S Setta, S Sinha, M Mishra, P Choudhury - Data Management, Analytics …, 2022 - Springer
Facial recognition is a biometric technology that uses unique facial features to identify a
person. Preventing retail crime, smart advertising, unlocking phone, finding missing person …

Facial recognition system using mixed transform and multilayer sigmoid neural network classifier

GM Sapijaszko, WB Mikhael - Circuits, Systems, and Signal Processing, 2020 - Springer
Facial recognition systems are critical components in numerous applications. They are used,
for example, to prevent retail crime, unlock phones, find missing persons, protect law …

Video expression recognition method based on spatiotemporal recurrent neural network and feature fusion

X Zhou - Journal of Information Processing Systems, 2021 - koreascience.kr
Automatically recognizing facial expressions in video sequences is a challenging task
because there is little direct correlation between facial features and subjective emotions in …