Lagrangian motion magnification with double sparse optical flow decomposition
Frontiers in Applied Mathematics and Statistics, 2023 Microexpressions are fast and spatially small facial expressions that are difficult to detect. Therefore, motion magnification techniques, which aim at amplifying and hence revealing subtle motion in videos, appear useful for handling such expressions ...
Philipp Flotho +3 more
doaj +1 more source
A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition [PDF]
, 2019 The automatic recognition of micro-expression has been boosted ever since the successful introduction of deep learning approaches. As researchers working on such topics are moving to learn from the nature of micro-expression, the practice of using deep ...
Bi, Tao +5 more
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Micro-Expression-Based Emotion Recognition Using Waterfall Atrous Spatial Pyramid Pooling Networks
Sensors, 2022 Understanding a person’s attitude or sentiment from their facial expressions has long been a straightforward task for humans. Numerous methods and techniques have been used to classify and interpret human emotions that are commonly communicated through ...
Marzuraikah Mohd Stofa +2 more
doaj +1 more source
Catching Elusive Depression via Facial Micro-Expression Recognition
IEEE Communications Magazine, 2023 To appear in IEEE Communications Magazine ...
Chen, Xiaohui, Luo, Tie
openaire +2 more sources
IEEE Access, 2020 Micro-expressions are deliberate or unconscious movements of people's psychological activities, reflecting the transient facial true expressions. Previous works focus on the whole face for micro-expressions recognition. These methods can extract a number
Yanliang Zhang +5 more
doaj +1 more source
New Tests to Measure Individual Differences in Matching and Labelling Facial Expressions of Emotion, and Their Association with Ability to Recognise Vocal Emotions and Facial Identity [PDF]
, 2015 Although good tests are available for diagnosing clinical impairments in face expression processing, there is a lack of strong tests for assessing "individual differences"--that is, differences in ability between individuals within the typical ...
Davis, Joshua M. +4 more
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LEARNet Dynamic Imaging Network for Micro Expression Recognition
, 2019 Unlike prevalent facial expressions, micro expressions have subtle, involuntary muscle movements which are short-lived in nature. These minute muscle movements reflect true emotions of a person.
Murala, Subrahmanyam +3 more
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Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis \& Application
, 2016 Spontaneous subtle emotions are expressed through micro-expressions, which are tiny, sudden and short-lived dynamics of facial muscles; thus poses a great challenge for visual recognition.
Ngo, Anh Cat Le +2 more
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Multimodal Attention Dynamic Fusion Network for Facial Micro-Expression Recognition
Entropy, 2023 The emotional changes in facial micro-expressions are combinations of action units. The researchers have revealed that action units can be used as additional auxiliary data to improve facial micro-expression recognition. Most of the researchers attempt to fuse image features and action unit information.
Hongling Yang +5 more
openaire +3 more sources
Background suppressing Gabor energy filtering [PDF]
, 2015 In the field of facial emotion recognition, early research advanced with the use of Gabor filters. However, these filters lack generalization and result in undesirably large feature vector size.
Bhanu, B, Cruz, AC, Thakoor, NS
core +1 more source