Results 11 to 20 of about 5,430,126 (385)
Facial expression and emotion.
Laryngo- rhino- otologie, 2023 Human facial expressions are unique in their ability to express our emotions and communicate them to others. The mimic expression of basic emotions is very similar across different cultures and has also many features in common with other mammals. This suggests a common genetic origin of the association between facial expressions and emotion.
Klingner, Carsten M. +1 more
openaire +3 more sources
Facial Motion Prior Networks for Facial Expression Recognition [PDF]
Visual Communications and Image Processing, 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 +2 more sources
Distract Your Attention: Multi-Head Cross Attention Network for Facial Expression Recognition [PDF]
Biomimetics, 2021 This paper presents a novel facial expression recognition network, called Distract your Attention Network (DAN). Our method is based on two key observations in biological visual perception.
Zhengyao Wen +3 more
semanticscholar +1 more source
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
Py-Feat: Python Facial Expression Analysis Toolbox [PDF]
Affective Science, 2021 Studying facial expressions is a notoriously difficult endeavor. Recent advances in the field of affective computing have yielded impressive progress in automatically detecting facial expressions from pictures and videos.
J. H. Cheong +3 more
semanticscholar +1 more source
AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild [PDF]
IEEE Transactions on Affective Computing, 2017 Automated affective computing in the wild setting is a challenging problem in computer vision. Existing annotated databases of facial expressions in the wild are small and mostly cover discrete emotions (aka the categorical model). There are very limited
A. Mollahosseini +2 more
semanticscholar +1 more source
An Android for Emotional Interaction: Spatiotemporal Validation of Its Facial Expressions
Frontiers in Psychology, 2022 Android robots capable of emotional interactions with humans have considerable potential for application to research. While several studies developed androids that can exhibit human-like emotional facial expressions, few have empirically validated ...
Wataru Sato +7 more
doaj +1 more source
Technologies, 2022 (1) Background: In addition to verbalizations, facial expressions advertise one’s affective state. There is an ongoing debate concerning the communicative value of the facial expressions of pain and of pleasure, and to what extent humans can distinguish ...
Hermann Prossinger +4 more
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
Facial Expression Transfer Based on Conditional Generative Adversarial Networks
IEEE Access, 2023 With the development of computer vision and image transfer, facial expression transfer has been more and more widespread applications. But there are still some problems, such as lack of realistic expression, poor retention of facial identity features and
Yang Fan +3 more
doaj +1 more source