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International Journal of Advanced ResearchFacial Expression Recognition is a system which provides an interface for computer and human interaction. With the advancement of technology and need of the hour such systems have earned the interest of researchers in psychology, medicine, computer ...
Shivam Mehra +3 more
semanticscholar +3 more sources
Facial Motion Prior Networks for Facial Expression Recognition [PDF]
2019 IEEE Visual Communications and Image Processing (VCIP), 2019 Deep learning based facial expression recognition (FER) has received a lot of attention in the past few years. Most of the existing deep learning based FER methods do not consider domain knowledge well, which thereby fail to extract representative ...
Cai, Jianfei +4 more
core +3 more sources
Suppressing Uncertainties for Large-Scale Facial Expression Recognition [PDF]
Computer Vision and Pattern Recognition, 2020 Annotating a qualitative large-scale facial expression dataset is extremely difficult due to the uncertainties caused by ambiguous facial expressions, low-quality facial images, and the subjectiveness of annotators.
Kai Wang +4 more
semanticscholar +1 more source
Micron-BERT: BERT-Based Facial Micro-Expression Recognition [PDF]
Computer Vision and Pattern Recognition, 2023 Micro-expression recognition is one of the most challenging topics in affective computing. It aims to recognize tiny facial movements difficult for humans to perceive in a brief period, i.e., 0.25 to 0.5 seconds.
Xuan-Bac Nguyen +5 more
semanticscholar +1 more source
Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition [PDF]
Computer Vision and Pattern Recognition, 2021 In this paper, we propose a novel Feature Decomposition and Reconstruction Learning (FDRL) method for effective facial expression recognition. We view the expression information as the combination of the shared information (expression similarities ...
Delian Ruan +5 more
semanticscholar +1 more source
Face expression image detection and recognition based on big data technology
International Journal of Intelligent Networks, 2023 This research addresses the deficiencies in current dynamic sequence facial expression recognition methods, which suffer from limited accuracy and effectiveness.
Shuji Deng
doaj +1 more source
Hybrid Approach for Facial Expression Recognition Using Convolutional Neural Networks and SVM
Applied Sciences, 2022 Facial expression recognition is very useful for effective human–computer interaction, robot interfaces, and emotion-aware smart agent systems. This paper presents a new framework for facial expression recognition by using a hybrid model: a combination ...
Jin-Chul Kim +4 more
doaj +1 more source
RRA-InceptionV3 Combined Robust Sparse Representation Method for Expression Recognition [PDF]
Jisuanji gongcheng, 2023 Facial expression recognition technology is an important subject in the field of computer vision.However, in real application, partial occlusion can lead to a sharp drop in the accuracy of facial expression recognition.In view of the low accuracy of ...
Hong XIE, Wengang JIANG
doaj +1 more source
Deep Facial Expression Recognition: A Survey [PDF]
IEEE Transactions on Affective Computing, 2018 With the transition of facial expression recognition (FER) from laboratory-controlled to challenging in-the-wild conditions and the recent success of deep learning techniques in various fields, deep neural networks have increasingly been leveraged to ...
Shan Li, Weihong Deng
semanticscholar +1 more source
FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos [PDF]
Computer Vision and Pattern Recognition, 2022 Current benchmarks for facial expression recognition (FER) mainly focus on static images, while there are limited datasets for FER in videos. It is still ambiguous to evaluate whether performances of existing methods remain satisfactory in real-world ...
Yan Wang +7 more
semanticscholar +1 more source