Results 11 to 20 of about 5,704,953 (285)
First report of generalized face processing difficulties in möbius sequence. [PDF]
PLoS ONE, 2013 Reverse simulation models of facial expression recognition suggest that we recognize the emotions of others by running implicit motor programmes responsible for the production of that expression.
Sarah Bate +3 more
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On Facial Expression Recognition Benchmarks [PDF]
Applied Computational Intelligence and Soft Computing, 2021 Facial expression is an important form of nonverbal communication, as it is noted that 55% of what humans communicate is expressed in facial expressions. There are several applications of facial expressions in diverse fields including medicine, security,
Ebenezer Owusu +2 more
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Facial Expression Recognition Using Facial Graph
, 2015 Automatic analysis of human facial expression is one of the challenging problems in machine vision systems. It has many applications in human-computer interactions, social robots, deceit detection, interactive video and behavior monitoring. In this paper, we developed a new method for automatic facial expression recognition based on verifying movable ...
Sina Mohseni +3 more
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Facial expression at retrieval affects recognition of facial identity [PDF]
Frontiers in Psychology, 2015 It is well known that memory can be modulated by emotional stimuli at the time of encoding and consolidation. For example, happy faces create better identity recognition than faces with certain other expressions. However, the influence of facial expression at the time of retrieval remains unknown in the literature.
Wenfeng eChen +8 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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Facial expression recognition on a quantum computer [PDF]
Quantum Machine Intelligence, 2021 AbstractWe address the problem of facial expression recognition and show a possible solution using a quantum machine learning approach. In order to define an efficient classifier for a given dataset, our approach substantially exploits quantum interference.
Riccardo Mengoni +2 more
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Evolutionary Facial Expression Recognition [PDF]
Conference of the South African Institute of Computer Scientists and Information Technologists 2020, 2020 Deep facial expression recognition faces two challenges that both stem from the large number of trainable parameters: long training times and a lack of interpretability. We propose a novel method based on evolutionary algorithms, that deals with both challenges by massively reducing the number of trainable parameters, whilst simultaneously retaining ...
Emmanuel Dufourq, Bruce A. Bassett
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The neural representation of facial expression [PDF]
, 2012 Faces provide information critical for effective social interactions. A face can be used to determine who someone is, where they are looking and how they are feeling.
Harris, Richard J
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Facial Expression Recognition: A Survey [PDF]
Symmetry, 2019 Facial Expression Recognition (FER), as the primary processing method for non-verbal intentions, is an important and promising field of computer vision and artificial intelligence, and one of the subject areas of symmetry. This survey is a comprehensive and structured overview of recent advances in FER. We first categorise the existing FER methods into
Yunxin Huang +3 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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