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Zusammenfassung Die menschliche Mimik ist einzigartig in ihrer Fähigkeit unseren Emotionen Ausdruck zu verleihen und diese anderen Menschen zu übermitteln. Die mimische Expression grundlegender Emotionen ist über verschiedene Kulturen hinweg sehr ähnlich
C. Klingner, O. Guntinas-Lichius
semanticscholar +3 more sources
Facial Motion Prior Networks for Facial Expression Recognition [PDF]
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
Unconscious Facial Reactions to Emotional Facial Expressions [PDF]
Studies reveal that when people are exposed to emotional facial expressions, they spontaneously react with distinct facial electromyographic (EMG) reactions in emotion-relevant facial muscles. These reactions reflect, in part, a tendency to mimic the facial stimuli. We investigated whether corresponding facial reactions can be elicited when people are
Ulf Dimberg+2 more
openalex +4 more sources
Human facial expressions as adaptations: Evolutionary questions in facial expression research [PDF]
The importance of the face in social interaction and social intelligence is widely recognized in anthropology. Yet the adaptive functions of human facial expression remain largely unknown. An evolutionary model of human facial expression as behavioral adaptation can be constructed, given the current knowledge of the phenotypic variation, ecological ...
Karen L. Schmidt, Jeffrey F. Cohn
openalex +4 more sources
Distract Your Attention: Multi-Head Cross Attention Network for Facial Expression Recognition [PDF]
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
Asymmetry in Facial Expression [PDF]
Version of ...
Nelson, Charles, Horowitz, F.
+12 more sources
Suppressing Uncertainties for Large-Scale Facial Expression Recognition [PDF]
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]
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
Regression-based Multi-View Facial Expression Recognition [PDF]
We present a regression-based scheme for multi-view facial expression recognition based on 2-D geometric features. We address the problem by mapping facial points (e.g.
Pantic, Maja+2 more
core +10 more sources