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Facial Expression Recognition Using Residual Masking Network
International Conference on Pattern Recognition, 2021Automatic facial expression recognition (FER) has gained much attention due to its applications in human-computer interaction. Among the approaches to improve FER tasks, this paper focuses on deep architecture with the attention mechanism.
Luan Pham, T. H. Vu, T. A. Tran
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Facial Expression Recognition [PDF]
SSRN Electronic Journal, 2021 This paper aims to incorporate facial expression recognition needs and applications. The expression of the face is the mode of non-verbal communications between the verbals and nonverbs.. It reflects or fills a human perspective and its mental state. A major research initiative was conducted over two decades to develop human computer interaction.
Pushpendra Yadav +2 more
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Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition
Computer Vision and Pattern Recognition, 2020Many existing studies reveal that annotation inconsistency widely exists among a variety of facial expression recognition (FER) datasets. The reason might be the subjectivity of human annotators and the ambiguous nature of the expression labels.
Shikai Chen +5 more
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Investigating Bias and Fairness in Facial Expression Recognition
ECCV Workshops, 2020Recognition of expressions of emotions and affect from facial images is a well-studied research problem in the fields of affective computing and computer vision with a large number of datasets available containing facial images and corresponding ...
Tian Xu +3 more
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IEEE Transactions on Image Processing, 2019
Facial expression is central to human experience, but most previous databases and studies are limited to posed facial behavior under controlled conditions.
Shan Li, Weihong Deng
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Facial expression is central to human experience, but most previous databases and studies are limited to posed facial behavior under controlled conditions.
Shan Li, Weihong Deng
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Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism
IEEE Transactions on Image Processing, 2019Facial expression recognition in the wild is challenging due to various unconstrained conditions. Although existing facial expression classifiers have been almost perfect on analyzing constrained frontal faces, they fail to perform well on partially ...
Yong Li +3 more
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Facial expression analysis with facial expression deformation
2008 19th International Conference on Pattern Recognition, 2008In this paper, we proposes an effective and novel approach to recognize subtle facial expression method which is facial expression deformation. The proposed method deforms subtle facial expressions into corresponding extreme facial expressions. Facial expression deformation processes by extracting subtle motion vector of the predefined feature points ...
Sungsoo Park, Jongju Shin, Daijin Kim
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The Compositionality of Facial Expressions
Perception, 2022The principle of compositionality, an important postulation in language and cognition research, posits that the meaning of a complex expression is determined by the meaning of its constituting parts and the operation performed on those parts. Here, we provide strong evidence that this principle plays a significant role also in interpreting facial ...
Carmel Sofer +3 more
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Facial Expression Recognition in Videos Using Dynamic Kernels
IEEE Transactions on Image Processing, 2020Recognition of facial expressions across various actors, contexts, and recording conditions in real-world videos involves identifying local facial movements.
N. Perveen +2 more
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Are Facial Expressions Reproducible?
The Cleft Palate Craniofacial Journal, 2003Objectives To determine the extent of reproducibility of five facial expressions. Design Thirty healthy Caucasian volunteers (15 males, 15 females) aged 21 to 30 years had 20 landmarks highlighted on the face with a fine eyeliner pencil. Subjects were asked to perform a sequence of five facial expressions that were captured by a three-dimensional ...
M. Bock +3 more
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