Facial Expression Recognition [PDF]
This chapter introduces recent advances in facial expression analysis and recognition. The first part discusses general structure of AFEA systems. The second part describes the problem space for facial expression analysis. This space includes multiple dimensions: level of description, individual differences in subjects, transitions among expressions ...
Yingli Tian +2 more
core +7 more sources
First report of generalized face processing difficulties in möbius sequence. [PDF]
Reverse simulation models of facial expression recognition suggest that we recognize the emotions of others by running implicit motor programmes responsible for the production of that expression.
Sarah Bate +3 more
doaj +5 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 features.
Chen, Yuedong +4 more
openaire +4 more sources
Effortless facial expression recognition without motor simulation [PDF]
Efficient recognition of facial expressions is often assumed to require covert and unconscious imitation of the observed facial movements – a “motor simulation”.
Sarah Carneiro Pereira +1 more
doaj +2 more sources
Res-RBG Facial Expression Recognition in Image Sequences Based on Dual Neural Networks [PDF]
Facial expressions involve dynamic changes, and facial expression recognition based on static images struggles to capture the temporal information inherent in these dynamic changes.
Xiangwei Mou +4 more
doaj +2 more sources
Facial expression recognition via ResNet-50
As one of the most important directions in the field of computer vision, facial emotion recognition plays an important role in people's daily work and life. Human emotion recognition based on facial expressions is of great significance in the application
Bin Li, Dimas Lima
doaj +2 more sources
Facial expression recognition via transfer learning [PDF]
INTRODUCTION: With the development of artificial intelligence, facial expression recognition has become a hot topic. Facial expression recognition has been widely applied to every field of our life.
Bin Li
doaj +1 more source
Facial Emotion Recognition Using Convolutional Brain Emotional Learning (CBEL) Model [PDF]
Facial expression is considered one of the most important ways of communication and human response to its environment. Recognition of facial emotional expression is used in many research fields, such as psychological studies, robotics, identity ...
Sara Motamed +2 more
doaj +1 more source
Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition [PDF]
Due to the subjective annotation and the inherent interclass similarity of facial expressions, one of key challenges in Facial Expression Recognition (FER) is the annotation ambiguity.
Jiahui She +5 more
semanticscholar +1 more source
Facial Expression Recognition With Visual Transformers and Attentional Selective Fusion [PDF]
Facial Expression Recognition (FER) in the wild is extremely challenging due to occlusions, variant head poses, face deformation and motion blur under unconstrained conditions.
Fuyan Ma, Bin Sun, Shutao Li
semanticscholar +1 more source

