A comprehensive survey on techniques to handle face identity threats: challenges and opportunities
The human face is considered the prime entity in recognizing a person's identity in our
society. Henceforth, the importance of face recognition systems is growing higher for many …
society. Henceforth, the importance of face recognition systems is growing higher for many …
A comprehensive review of facial expression recognition techniques
RR Adyapady, B Annappa - Multimedia Systems, 2023 - Springer
Emotion recognition has opened up many challenges, which lead to various advances in
computer vision and artificial intelligence. The rapid development in this field has …
computer vision and artificial intelligence. The rapid development in this field has …
[PDF][PDF] Facial Expression Recognition Model Depending on Optimized Support Vector Machine.
In computer vision, emotion recognition using facial expression images is considered an
important research issue. Deep learning advances in recent years have aided in attaining …
important research issue. Deep learning advances in recent years have aided in attaining …
A deep learning model for classifying human facial expressions from infrared thermal images
The analysis of human facial expressions from the thermal images captured by the Infrared
Thermal Imaging (IRTI) cameras has recently gained importance compared to images …
Thermal Imaging (IRTI) cameras has recently gained importance compared to images …
Diabetic foot ulcer classification using mapped binary patterns and convolutional neural networks
Diabetic foot ulcer (DFU) is a major complication of diabetes and can lead to lower limb
amputation if not treated early and properly. In addition to the traditional clinical approaches …
amputation if not treated early and properly. In addition to the traditional clinical approaches …
[HTML][HTML] Cancelable ECG biometric based on combination of deep transfer learning with DNA and amino acid approaches for human authentication
Recently, electrocardiogram (ECG) signals have received a high level of attention as a
physiological signal in the field of biometrics. It has presented great possibilities for its …
physiological signal in the field of biometrics. It has presented great possibilities for its …
Real-time facial expression recognition using deep learning with application in the active classroom environment
D Dukić, A Sovic Krzic - Electronics, 2022 - mdpi.com
The quality of a teaching method used in a classroom can be assessed by observing the
facial expressions of students. To automate this, Facial Expression Recognition (FER) can …
facial expressions of students. To automate this, Facial Expression Recognition (FER) can …
Defect detection of the surface of wind turbine blades combining attention mechanism
Y Liu, Y Zheng, Z Shao, T Wei, T Cui, R Xu - Advanced Engineering …, 2024 - Elsevier
The proposed work introduces a novel, lightweight feature fusion network model based on
the attention mechanism to address the issues of high time consumption and poor …
the attention mechanism to address the issues of high time consumption and poor …
Gravitational search algorithm based optimized deep learning model with diverse set of features for facial expression recognition
WM Alenazy, AS Alqahtani - Journal of ambient intelligence and …, 2021 - Springer
Facial expression recognition (FER) is an essential part of effective human–computer
interaction and serves as a helpful medium for children and patients who have problems …
interaction and serves as a helpful medium for children and patients who have problems …
Facial expression recognition in the wild using face graph and attention
H Kim, JH Lee, BC Ko - Ieee Access, 2023 - ieeexplore.ieee.org
Facial expression recognition (FER) in the wild from various viewpoints, lighting conditions,
face poses, scales, and occlusions is an extremely challenging field of research. In this …
face poses, scales, and occlusions is an extremely challenging field of research. In this …