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Deep Learning Based on Facial Expression Recognition from Images to Videos [PDF]
ITM Web of ConferencesFacial expressions, as a vital conduit for human emotional expression, are among the most observable features of machines in the field of computer vision.
Deng Rui
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Statistical modelling for facial expression dynamics [PDF]
, 2012 PhDOne of the most powerful and fastest means of relaying emotions between humans are facial expressions. The ability to capture, understand and mimic those emotions and their underlying dynamics in the synthetic counterpart is a challenging task ...
Zalewski, Lukasz
core +2 more sources
Frontiers in Neurology, 2016 Background: Altered emotional processing, including reduced emotion facial expression and defective emotion recognition, has been reported in patients with Parkinson’s disease (PD).
Matteo Bologna +9 more
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Multi-Modal CNN Features Fusion for Emotion Recognition: A Modified Xception Model
IEEE Access, 2023 Facial expression recognition (FER) is advancing human-computer interaction, especially, today, where facial masks are commonly worn due to the COVID-19 pandemic.
H. M. Shahzad +4 more
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The effect of facial attractiveness on micro-expression recognition
Frontiers in Psychology, 2022 Micro-expression (ME) is an extremely quick and uncontrollable facial movement that lasts for 40–200 ms and reveals thoughts and feelings that an individual attempts to cover up.
Qiongsi Lin +6 more
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Counterfactual Fairness for Facial Expression Recognition
, 2023 Given the increasing prevalence of facial analysis technology, the problem of bias in these tools is becoming an even greater source of concern. Causality has been proposed as a method to address the problem of bias, giving rise to the popularity of using counterfactuals as a bias mitigation tool.
Cheong, Jiaee +2 more
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Facial Shape Space using Statistical Models from Surface Normal. [PDF]
, 2012 The analysis of shape-variations due to changes in facial expression and gender difference is a key problem in face recognition. In this thesis, we use statistical shape analysis to construct shape-spaces that span facial expressions and gender, and use ...
Ceolin, Simone Regina
core +5 more sources
Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding
Information, 2014 Sparse coding is an active research subject in signal processing, computer vision, and pattern recognition. A novel method of facial expression recognition via non-negative least squares (NNLS) sparse coding is presented in this paper.
Ying Chen, Shiqing Zhang, Xiaoming Zhao
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Face expression recognition based on NGO-BILSTM model
Frontiers in Neurorobotics, 2023 IntroductionFacial expression recognition has always been a hot topic in computer vision and artificial intelligence. In recent years, deep learning models have achieved good results in accurately recognizing facial expressions.
Jiarui Zhong, Tangxian Chen, Liuhan Yi
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Explaining Facial Expression Recognition
International Joint Conference on Autonomous Agents and Multiagent SystemsFacial expression recognition (FER) has emerged as a promising approach to the development of emotion-aware intelligent agents and systems. However, key challenges remain in utilizing FER in real-world contexts, including ensuring user understanding and establishing a suitable level of user trust.
Sanjeev Nahulanthran +3 more
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