FERGCN: facial expression recognition based on graph convolution network
Sign Up to like & getrecommendations! 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… read more here.
Keywords: expression; graph; recognition based; expression recognition ... See more keywords
Advances in computer–human interaction for detecting facial expression using dual tree multi band wavelet transform and Gaussian mixture model
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05037-9
Abstract: In human communication, facial expressions play an important role, which carries enough information about human emotions. Last two decades, it becomes a very active research area in pattern recognition and computer vision. In this type… read more here.
Keywords: dual tree; facial expressions; band wavelet; wavelet transform ... See more keywords
Discriminative attention-augmented feature learning for facial expression recognition in the wild
Sign Up to like & getrecommendations! 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… read more here.
Keywords: discriminative attention; feature; expression; facial expression ... See more keywords
Facial expression stereotypes of rich and poor adults and children.
Sign Up to like & getrecommendations! Published in 2021 at "Cognitive processing"
DOI: 10.1007/s10339-021-01040-7
Abstract: Facial expression stereotypes can affect the perception of other people's facial expressions. This study examined facial expression stereotypes of poor and rich adults and children. Experiment 1 found that the adult participants associated rich adults… read more here.
Keywords: expression stereotypes; rich adults; poor adults; facial expression ... See more keywords
Facial expression recognition using histogram of oriented gradients based transformed features
Sign Up to like & getrecommendations! 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… read more here.
Keywords: facial expression; recognition using; oriented gradients; expression recognition ... See more keywords
Nonnegative Tensor Factorization based on Low-Rank Subspace for Facial Expression Recognition
Sign Up to like & getrecommendations! Published in 2022 at "Mobile Networks and Applications"
DOI: 10.1007/s11036-020-01709-x
Abstract: Important progresses have been made in the field of artificial intelligence in recent years, and facial expression recognition (FER), which could greatly facilitate the development of human-computer interaction, has been becoming a significant research hotspot.… read more here.
Keywords: facial expression; tensor; low rank; subspace ... See more keywords
Facial-expression recognition based on a low-dimensional temporal feature space
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5354-x
Abstract: This paper suggests a facial-expression recognition in accordance with face video sequences based on a newly low-dimensional feature space proposed. Indeed, we extract a Pyramid of uniform Temporal Local Binary Pattern representation, using only XT… read more here.
Keywords: facial expression; feature space; low dimensional; feature ... See more keywords
Rapid facial expression recognition under part occlusion based on symmetric SURF and heterogeneous soft partition network
Sign Up to like & getrecommendations! 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… read more here.
Keywords: network; recognition; facial expression; occlusion ... See more keywords
Non-Frontal Facial Expression Recognition Using a Depth-Patch Based Deep Neural Network
Sign Up to like & getrecommendations! 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… read more here.
Keywords: depth patch; expression; facial expression; expression recognition ... See more keywords
Individual-free representation-based classification for facial expression recognition
Sign Up to like & getrecommendations! 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… read more here.
Keywords: classification; expression; free representation; facial expression ... See more keywords
A Review of Computational Approaches for Human Behavior Detection
Sign Up to like & getrecommendations! Published in 2018 at "Archives of Computational Methods in Engineering"
DOI: 10.1007/s11831-018-9270-7
Abstract: Computer vision techniques capable of detecting human behavior are gaining interest. Several researchers have provided their review on behavior detection, however most of the reviews are focused on activity recognition only, and reviews on gesture… read more here.
Keywords: behavior detection; recognition; human behavior; review ... See more keywords