Results 21 to 30 of about 3,653,493 (290)

Person-Independent Facial Expression Recognition Based on Improved Local Binary Pattern and Higher-Order Singular Value Decomposition

open access: yesIEEE Access, 2020
The recognition rate of person-independent facial expression is generally not high, which limits the practical application of facial expression recognition.
Ying He, Shuxin Chen
doaj   +1 more source

A computational model of the development of separate representations of facial identity and expression in the primate visual system. [PDF]

open access: yesPLoS ONE, 2011
Experimental studies have provided evidence that the visual processing areas of the primate brain represent facial identity and facial expression within different subpopulations of neurons.
James Matthew Tromans   +2 more
doaj   +1 more source

A Selective Expression Manipulation With Parametric 3D Facial Model

open access: yesIEEE Access, 2023
This paper proposes a novel method to represent expressive 3D facial shapes called the Selective Expression Manipulation (SEM) by fitting the expression coefficients of delta-blendshapes, which is the standard parametric facial model widely used in ...
Jiwoo Kang   +3 more
doaj   +1 more source

Effects of Facial Expression and Facial Gender on Judgment of Trustworthiness: The Modulating Effect of Cooperative and Competitive Settings

open access: yesFrontiers in Psychology, 2018
People often judge trustworthiness based on others’ faces (e.g., facial expression and facial gender). However, it is unclear whether social context plays a moderating role in forming trustworthiness judgments. Based on the emotions as social information
Yan Dong   +4 more
doaj   +1 more source

Self-Difference Convolutional Neural Network for Facial Expression Recognition

open access: yesSensors, 2021
Facial expression recognition (FER) is a challenging problem due to the intra-class variation caused by subject identities. In this paper, a self-difference convolutional network (SD-CNN) is proposed to address the intra-class variation issue in FER ...
Leyuan Liu   +3 more
doaj   +1 more source

Facial Emotion Recognition Using Convolutional Brain Emotional Learning (CBEL) Model [PDF]

open access: yesComputational Engineering and Physical Modeling, 2022
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

The Facial Expression Module [PDF]

open access: yes, 2006
In current dialogue systems the use of speech as an input modality is common. But this modality is only one of those human beings use. In human-human interaction people use gestures to point or facial expressions to show their moods as well. To give modern systems a chance to read information from all modalities used by humans, these systems must have ...
Frank, Carmen   +6 more
openaire   +2 more sources

Concordance of facial reactions to facial expressions

open access: yesThe Japanese journal of psychology, 2004
Participants watching a facial expression of emotion tend to respond with the same facial expression. This facial concordance is well known for happiness, but not for other emotions. The present study investigated whether facial expressions of basic six emotions induce facial concordance in participants by average-face method.
Ichikawa, Hiroko, Makino, Junshiro
openaire   +3 more sources

Research on facial expression recognition based on an improved fusion algorithm

open access: yesNonlinear Engineering, 2022
This article puts forward a facial expression recognition (FER) algorithm based on multi-feature fusion and convolutional neural network (CNN) to solve the problem that FER is susceptible to interference factors such as non-uniform illumination, thereby ...
Yaermaimaiti Yilihamu   +2 more
doaj   +1 more source

Changes in Computer-Analyzed Facial Expressions with Age

open access: yesSensors, 2021
Facial expressions are well known to change with age, but the quantitative properties of facial aging remain unclear. In the present study, we investigated the differences in the intensity of facial expressions between older (n = 56) and younger adults ...
Hyunwoong Ko   +8 more
doaj   +1 more source

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