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Joint Pose and Expression Modeling for Facial Expression Recognition
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018Facial expression recognition (FER) is a challenging task due to different expressions under arbitrary poses. Most conventional approaches either perform face frontalization on a non-frontal facial image or learn separate classifiers for each pose ...
Feifei Zhang +3 more
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Facial expression and emotion.
American Psychologist, 1993Cross-cultural research on facial expression and the developments of methods to measure facial expression are briefly summarized. What has been learned about emotion from this work on the face is then elucidated. Four questions about facial expression and emotion are discussed: What information does an expression typically convey?
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Patch-Gated CNN for Occlusion-aware Facial Expression Recognition
International Conference on Pattern Recognition, 2018Facial expression recognition in the wild is challenging due to various un-constrained conditions. Although existing facial expression classifiers have been almost perfect on analyzing constrained frontal faces, they fail to perform well on partially ...
Yong Li +3 more
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Understanding the recognition of facial identity and facial expression
Nature Reviews Neuroscience, 2005Faces convey a wealth of social signals. A dominant view in face-perception research has been that the recognition of facial identity and facial expression involves separable visual pathways at the functional and neural levels, and data from experimental, neuropsychological, functional imaging and cell-recording studies are commonly interpreted within ...
Andrew W. Young, Andrew J. Calder
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Multi-Region Ensemble Convolutional Neural Network for Facial Expression Recognition
International Conference on Artificial Neural Networks, 2018Facial expressions play an important role in conveying the emotional states of human beings. Recently, deep learning approaches have been applied to image recognition field due to the discriminative power of Convolutional Neural Network (CNN).
Yingruo Fan, J. Lam, V. Li
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1986
This paper presents a theoretical analysis of the process of recognising facial expressions. That process is interesting in its own right, since it touches upon the general problems of knowing other minds and of social communication. In addition, analysis of facial expression processing may contribute to understanding face recognition generally.
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This paper presents a theoretical analysis of the process of recognising facial expressions. That process is interesting in its own right, since it touches upon the general problems of knowing other minds and of social communication. In addition, analysis of facial expression processing may contribute to understanding face recognition generally.
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Scandinavian Journal of Psychology, 1966
Two experiments were concerned with scaling affective meanings of posed facial expressions using a specially devised form of semantic differential and with determining the extent to which the meaning of stereoscopically fused facial expressions could be predicted. Both experiments provided evidence for at least three dimensions.
Hiroshi Ono +2 more
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Two experiments were concerned with scaling affective meanings of posed facial expressions using a specially devised form of semantic differential and with determining the extent to which the meaning of stereoscopically fused facial expressions could be predicted. Both experiments provided evidence for at least three dimensions.
Hiroshi Ono +2 more
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2009
Facial expression recognition is a process performed by humans or computers, which consists of: 1. Locating faces in the scene (e.g., in an image; this step is also referred to as face detection), 2. Extracting facial features from the detected face region (e.g., detecting the shape of facial components or describing the texture of the skin in a facial
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Facial expression recognition is a process performed by humans or computers, which consists of: 1. Locating faces in the scene (e.g., in an image; this step is also referred to as face detection), 2. Extracting facial features from the detected face region (e.g., detecting the shape of facial components or describing the texture of the skin in a facial
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Fetuses: Facial Motions or Facial Expressions?
2015Main points: brief historical survey, fetal motions not expressions, emergence of different facial motions within states, preparatory function of, facial motions paving the way for face attraction and facial mimicry, or simple imitation at ...
Roberto Fogliani +5 more
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