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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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EMPATH: A Neural Network that Categorizes Facial Expressions [PDF]
, 2002 There are two competing theories of facial expression recognition. Some researchers have suggested that it is an example of "categorical perception." In this view, expression categories are considered to be discrete entities with sharp boundaries, and ...
Adolphs, Ralph +3 more
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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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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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VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition [PDF]
, 2018 Reliable facial expression recognition plays a critical role in human-machine interactions. However, most of the facial expression analysis methodologies proposed to date pay little or no attention to the protection of a user's privacy. In this paper, we
Chen, Jiawei +2 more
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Four not six: revealing culturally common facial expressions of emotion [PDF]
, 2016 As a highly social species, humans generate complex facial expressions to communicate a diverse range of emotions. Since Darwin’s work, identifying amongst these complex patterns which are common across cultures and which are culture-specific has ...
Delis, Ioannis +4 more
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Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories [PDF]
, 2019 In this paper, we propose a new approach for facial expression recognition using deep covariance descriptors. The solution is based on the idea of encoding local and global Deep Convolutional Neural Network (DCNN) features extracted from still images, in
Ballihi, Lahoucine +4 more
core +5 more sources
Facial Expression Recognition with LBP and ORB Features
Computational Intelligence and Neuroscience, 2021 Emotion plays an important role in communication. For human–computer interaction, facial expression recognition has become an indispensable part. Recently, deep neural networks (DNNs) are widely used in this field and they overcome the limitations of ...
Ben Niu, Zhenxing Gao, Bingbing Guo
semanticscholar +1 more source
Superior Facial Expression, But Not Identity Recognition, in Mirror-Touch Synesthesia [PDF]
, 2011 Simulation models of expression recognition contend that to understand another's facial expressions, individuals map the perceived expression onto the same sensorimotor representations that are active during the experience of the perceived emotion.
Banissy, Michael J +5 more
core +2 more sources
Facial expression recognition based on local region specific features and support vector machines
, 2016 Facial expressions are one of the most powerful, natural and immediate means for human being to communicate their emotions and intensions. Recognition of facial expression has many applications including human-computer interaction, cognitive science ...
Ghimire, Deepak +3 more
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