Results 51 to 60 of about 5,950,781 (357)
Facial Expression Manipulation for Personalized Facial Action Estimation
Frontiers in Signal Processing, 2022 Limited sizes of annotated video databases of spontaneous facial expression, imbalanced action unit labels, and domain shift are three main obstacles in training models to detect facial actions and estimate their intensity.
Koichiro Niinuma +3 more
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Facial Expression Analysis under Partial Occlusion [PDF]
ACM Computing Surveys, 2018 Automatic machine-based Facial Expression Analysis (FEA) has made substantial progress in the past few decades driven by its importance for applications in psychology, security, health, entertainment, and human–computer interaction.
Ligang Zhang +3 more
semanticscholar +1 more source
Research on facial expression recognition based on an improved fusion algorithm
Nonlinear 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
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Changes in Computer-Analyzed Facial Expressions with Age
Sensors, 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
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Scholarpedia, 2008 Facial expressions refer to movements of the mimetic musculature of the face. The vast majority of these muscles are innervated by the VIIth cranial nerve, emanating from the brainstem between the pons and medulla (Figure 1). The nerve includes a motor root that supplies somatic muscle fibers to the muscles of the face, scalp, and outer ear, enabling ...
David Matsumoto, Paul Ekman
openaire +1 more source
Applied Sciences, 2020 The convolutional neural network (CNN) has been widely used in image recognition field due to its good performance. This paper proposes a facial expression recognition method based on the CNN model. Regarding the complexity of the hierarchic structure of
Yingying Wang +3 more
semanticscholar +1 more source
Facial musculature in the rhesus macaque (Macaca mulatta): evolutionary and functional contexts with comparisons to chimpanzees and humans [PDF]
, 2009 Facial expression is a common mode of visual communication in mammals but especially so in primates. Rhesus macaques (Macaca mulatta) have a well‐documented facial expression repertoire that is controlled by the facial/mimetic musculature as in all ...
Bridget M. Waller +8 more
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Face expression image detection and recognition based on big data technology
International Journal of Intelligent Networks, 2023 This research addresses the deficiencies in current dynamic sequence facial expression recognition methods, which suffer from limited accuracy and effectiveness.
Shuji Deng
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Cultural-based visual expression: Emotional analysis of human face via Peking Opera Painted Faces (POPF) [PDF]
, 2015 © 2015 The Author(s) Peking Opera as a branch of Chinese traditional cultures and arts has a very distinct colourful facial make-up for all actors in the stage performance.
Kang, J +11 more
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Adaptive 3D Model-Based Facial Expression Synthesis and Pose Frontalization
Sensors, 2020 Facial expressions are one of the important non-verbal ways used to understand human emotions during communication. Thus, acquiring and reproducing facial expressions is helpful in analyzing human emotional states.
Yu-Jin Hong +5 more
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