Results 31 to 40 of about 51,431 (306)
Covariance Pooling for Facial Expression Recognition [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018 Classifying facial expressions into different categories requires capturing regional distortions of facial landmarks. We believe that second-order statistics such as covariance is better able to capture such distortions in regional facial fea- tures. In this work, we explore the benefits of using a man- ifold network structure for covariance pooling to
Dinesh Acharya 0001 +3 more
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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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Coherence constraints in facial expression recognition [PDF]
Intelligenza Artificiale, 2019 This paper investigates the role of coherence constraints in recognizing facial expressions from images and video sequences. A set of constraints are introduced to bridge a pool of Convolutional Neural Networks (CNNs) during their training stage. Constraints are inspired by practical considerations on the regularity of the temporal evolution of the ...
Graziani L., Melacci S., Gori M.
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Deep facial expression recognition: a survey [PDF]
Journal of Image and Graphics, 2020 With the transition of facial expression recognition (FER) from laboratory-controlled to challenging in-the-wild conditions and the recent success of deep learning techniques in various fields, deep neural networks have increasingly been leveraged to learn discriminative representations for automatic FER.
Shan Li 0001, Weihong Deng
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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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Recognising facial expressions in video sequences [PDF]
, 2008 We introduce a system that processes a sequence of images of a front-facing human face and recognises a set of facial expressions. We use an efficient appearance-based face tracker to locate the face in the image sequence and estimate the deformation of ...
Muñoz, Enrique +2 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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Recognition of 3D facial expression dynamics [PDF]
Image and Vision Computing, 2012 In this paper we propose a method that exploits 3D motion-based features between frames of 3D facial geometry sequences for dynamic facial expression recognition. An expressive sequence is modelled to contain an onset followed by an apex and an offset.
Rajamanoharan, Georgia +4 more
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Automatic emotional state detection using facial expression dynamic in videos [PDF]
, 2014 In this paper, an automatic emotion detection system is built for a computer or machine to detect the emotional state from facial expressions in human computer communication.
Huang, D +3 more
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Facial Expression Recognition Based on Anti-Aliasing Residual Attention Network [PDF]
Jisuanji gongcheng, 2023 As it is difficult to extract effective features in facial expression recognition and the high similarity between categories and easy confusion lead to low accuracy of facial expression recognition, a facial expression recognition method based on anti ...
Fangyu FENG, Xiaoshu LUO, Zhiming MENG, Guangyu WANG
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