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Masked face recognition using deep learning: A review
A large number of intelligent models for masked face recognition (MFR) has been recently
presented and applied in various fields, such as masked face tracking for people safety or …
presented and applied in various fields, such as masked face tracking for people safety or …
Emerging frontiers in human–robot interaction
Effective interactions between humans and robots are vital to achieving shared tasks in
collaborative processes. Robots can utilize diverse communication channels to interact with …
collaborative processes. Robots can utilize diverse communication channels to interact with …
Quadratic polynomial guided fuzzy C-means and dual attention mechanism for medical image segmentation
Medical image segmentation is the most complex and important task in the field of medical
image processing and analysis, as it is linked to disease diagnosis accuracy. However, due …
image processing and analysis, as it is linked to disease diagnosis accuracy. However, due …
Facial expression emotion recognition model integrating philosophy and machine learning theory
Z Song - Frontiers in Psychology, 2021 - frontiersin.org
Facial expression emotion recognition is an intuitive reflection of a person's mental state,
which contains rich emotional information, and is one of the most important forms of …
which contains rich emotional information, and is one of the most important forms of …
A survey on computer vision based human analysis in the COVID-19 era
The emergence of COVID-19 has had a global and profound impact, not only on society as a
whole, but also on the lives of individuals. Various prevention measures were introduced …
whole, but also on the lives of individuals. Various prevention measures were introduced …
Segmentation network of concrete cracks with multi-frequency OctaveRes dual encoder and cross-attention mechanism optimized by average weight
Concrete cracks are one of the most harmful flaws on the road, threatening traffic safety. In
this paper, an effective crack segmentation network MOACA-CrackNet that strives to boost …
this paper, an effective crack segmentation network MOACA-CrackNet that strives to boost …
Deep facial expression detection using Viola-Jones algorithm, CNN-MLP and CNN-SVM
Computer vision researchers are now studying the process of recognizing emotions from
facial expressions. Our system is based on his three-step method in this article, which …
facial expressions. Our system is based on his three-step method in this article, which …
Research on the analysis method of digital media art communication based on 3D image recognition
D Liu - Displays, 2022 - Elsevier
Abstract 3D image has important applications in reverse engineering, pattern recognition,
artificial intelligence and other fields. 3D image processing technology has become a …
artificial intelligence and other fields. 3D image processing technology has become a …
[HTML][HTML] Pedestrian detection method based on two-stage fusion of visible light image and thermal infrared image
Pedestrian detection has important research value and practical significance. It has been
used in intelligent monitoring, intelligent transportation, intelligent therapy, and automatic …
used in intelligent monitoring, intelligent transportation, intelligent therapy, and automatic …
[HTML][HTML] Faces in event streams (FES): An annotated face dataset for event cameras
The use of event-based cameras in computer vision is a growing research direction.
However, despite the existing research on face detection using the event camera, a …
However, despite the existing research on face detection using the event camera, a …