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Published in 2022 at "Machine Vision and Applications"
DOI: 10.1007/s00138-022-01288-9
Abstract: Due to the problems of occlusion, pose change, illumination change, and image blur in the wild facial expression dataset, it is a challenging computer vision problem to recognize facial expressions in a complex environment. To…
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Keywords:
expression;
graph;
recognition based;
expression recognition ... See more keywords
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Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06045-z
Abstract: Facial expression recognition (FER) in-the-wild is challenging due to unconstraint settings such as varying head poses, illumination, and occlusions. In addition, the performance of a FER system significantly degrades due to large intra-class variation and…
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Keywords:
discriminative attention;
feature;
expression;
facial expression ... See more keywords
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Published in 2021 at "Multimedia Systems"
DOI: 10.1007/s00530-021-00842-1
Abstract: Micro-expressions are subtle facial movements that expose a person’s hidden emotions. Recognizing the micro-expression has importance for example in criminal investigations and psychotherapy. Compared with the shallower-architecture model, image magnification of these movements, which is…
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Keywords:
recognition;
expression recognition;
balance balanced;
micro expression ... See more keywords
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Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-0921-5
Abstract: Facial expression recognition has been an emerging and long standing research problem in last two decades. Histograms of oriented gradients (HOGs) have proven to be an effective descriptor for preserving the local information using orientation…
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Keywords:
facial expression;
recognition using;
oriented gradients;
expression recognition ... See more keywords
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Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5317-2
Abstract: Facial expression recognition plays a crucial role in a wide range of applications of psychotherapy, security systems, marketing, commerce and much more. Detecting a macro-expression, which is a direct representation of an ‘emotion,’ is a…
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Keywords:
micro expression;
survey;
recognition;
expression ... See more keywords
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Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-07860-2
Abstract: Researches on Expression recognition focus on common subject-independent task, while cross-database evaluation is rare and lack of universal protocol. The key challenge for both tasks is to extract features that effectively describe the pattern of…
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Keywords:
convolution network;
expression recognition;
network;
attention mechanism ... See more keywords
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Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09566-2
Abstract: Recently, deep learning has made great achievements in facial expression recognition. However, occlusion and large skew will greatly affect the accuracy of facial expression recognition in practice. Therefore, we propose a novel framework based on…
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Keywords:
network;
recognition;
facial expression;
occlusion ... See more keywords
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Published in 2021 at "Wireless Personal Communications"
DOI: 10.1007/s11277-021-08794-5
Abstract: Micro-Expressions (ME) has turned out to be one amongst the most vital clues for lies, as well as numerous other applications. It is the brief Facial Expressions (FE) that the people express whilst endeavouring to…
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Keywords:
feature learning;
micro expression;
wtaof ilpb;
lfssoa rbfnn ... See more keywords
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1
Published in 2017 at "Journal of Computer Science and Technology"
DOI: 10.1007/s11390-017-1792-1
Abstract: The challenge of coping with non-frontal head poses during facial expression recognition results in considerable reduction of accuracy and robustness when capturing expressions that occur during natural communications. In this paper, we attempt to recognize…
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Keywords:
depth patch;
expression;
facial expression;
expression recognition ... See more keywords
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Published in 2021 at "Journal of Real-time Image Processing"
DOI: 10.1007/s11554-021-01088-w
Abstract: Facial expressions are the most direct external manifestation of personal emotions. Different from other pattern recognition problems, the feature difference between facial expressions is smaller. The general methods are difficult to effectively characterize the feature…
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Keywords:
recognition;
expression recognition;
real time;
multi kernel ... See more keywords
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Published in 2017 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-016-0999-x
Abstract: Facial expression recognition (FER) plays a significant role in human–computer interaction. However, in FER applications, the samples are usually corrupted by individual differences, which affect the classification result to some extent. This paper proposes an…
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Keywords:
classification;
expression;
free representation;
facial expression ... See more keywords