Results 21 to 30 of about 5,704,953 (285)
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
doaj +1 more source
NAO-Facial-Expression-Recognition
, 2021 This project includes a CNN-based FER model designed for real-world facial expression recognition. The “main.py” script allows you to integrate the model into NAO robot image’ streaming, under its Windows Python SDK (Naoqi).
Chiara Filippini (11480128)
core +1 more source
Facial responses to facial expressions of emotion in dangerous and severe personality disorder [PDF]
, 2006 When people view facial expressions of emotion they tend to mimic or mirror the expression. According to Leventhal's perceptual-motor theory of emotion, this response occurs when innate central motor programmes are activated.
Whittle, Keith William
core +6 more sources
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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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
openaire +5 more sources
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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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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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.
openaire +4 more sources
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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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
doaj +1 more source