Results 11 to 20 of about 237,985 (287)
RRA-InceptionV3 Combined Robust Sparse Representation Method for Expression Recognition [PDF]
Jisuanji gongcheng, 2023 Facial expression recognition technology is an important subject in the field of computer vision.However, in real application, partial occlusion can lead to a sharp drop in the accuracy of facial expression recognition.In view of the low accuracy of ...
Hong XIE, Wengang JIANG
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IEEE 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
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Regression-based Multi-View Facial Expression Recognition [PDF]
, 2010 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
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IEEE Access, 2023 Aiming at the problem of insufficient feature extraction and low recognition rate of traditional convolutional neural network in facial expression recognition, a multi-layer feature recognition algorithm based on three-channel convolutional neural ...
Ying He +3 more
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A facial expression recognition method based on face texture feature fusion
Journal of Hebei University of Science and Technology, 2021 Aiming at facial expression recognition, the recognition rate is not high due to noise and occlusion. A hybrid approach of facial expression has been presented by combining local and global features.
Tingting GAO, Hang LI, Shoulin YIN
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Efficient recognition of facial expressions does not require motor simulation
eLife, 2020 What mechanisms underlie facial expression recognition? A popular hypothesis holds that efficient facial expression recognition cannot be achieved by visual analysis alone but additionally requires a mechanism of motor simulation — an unconscious, covert
Gilles Vannuscorps +2 more
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Frontiers in Psychology, 2013 Using Garner’s speeded classification task existing studies demonstrated an asymmetric interference in the recognition of facial identity and facial expression. It seems that expression is hard to interfere with identity recognition.
Yamin eWang +3 more
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IEEE Access, 2023 Facial expression analysis aims to understand human emotions by analyzing visual face information and is a popular topic in the computer vision community. In educational research, the analyzed students’ affect states can be used by faculty members
Bei Fang +3 more
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Results: Recognition of Facial Expression by Digital Image Processing [PDF]
, 2016 Facial expression is one of most important behavioral measure for studies of emotion, cognitive processes, and social interaction. Facial expression recognition has become a promising research area.
Patil, M. M. (Manjusha) +1 more
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Feature Extraction Techniques for Facial Expression Recognition (FER)
Al-Iraqia Journal for Scientific Engineering Research, 2023 Facial expression recognition (FER) is a significant area of study in computer vision and affective computing. In numerous applications, such as human-computer interaction, emotion detection, and behavior analysis.
Hadeel Mohammed +2 more
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