Facial expression recognition with two-branch disentangled generative adversarial network
Facial Expression Recognition (FER) is a challenging task in computer vision as features
extracted from expressional images are usually entangled with other facial attributes, eg …
extracted from expressional images are usually entangled with other facial attributes, eg …
Multi-label, multi-task CNN approach for context-based emotion recognition
This paper proposes a new deep learning architecture for context-based multi-label multi-
task emotion recognition. The architecture is built from three main modules:(1) a body …
task emotion recognition. The architecture is built from three main modules:(1) a body …
Fusing Transformed Deep and Shallow features (FTDS) for image-based facial expression recognition
In this paper, we propose combining between the transformed hand-crafted and deep
features using PCA to recognize the six-basic facial expressions from static images. To …
features using PCA to recognize the six-basic facial expressions from static images. To …
A comparative study of 14 state of art descriptors for face recognition
S Karanwal - Multimedia Tools and Applications, 2021 - Springer
This research paper presents a comparative study between 14 state of art descriptors which
includes Local Binary Pattern (LBP), Median Binary Pattern (MBP), 6× 6 Multiscale Block …
includes Local Binary Pattern (LBP), Median Binary Pattern (MBP), 6× 6 Multiscale Block …
Subspace learning for facial expression recognition: an overview and a new perspective
For image recognition, an extensive number of subspace-learning methods have been
proposed to overcome the high-dimensionality problem of the features being used. In this …
proposed to overcome the high-dimensionality problem of the features being used. In this …
Localization and classification of human facial emotions using local intensity order pattern and shape-based texture features
Facial emotion recognition system (FERS) recognize the person's emotions based on
various image processing stages including feature extraction as one of the major processing …
various image processing stages including feature extraction as one of the major processing …
Facial expression recognition by inter-class relational learning
Certain correlation exists between various expressions of the human face, yet few works
have explored it. In this paper, we propose to recognize facial expressions by extracting …
have explored it. In this paper, we propose to recognize facial expressions by extracting …
Local tri directional pattern (LTDP): a novel descriptor for face recognition in unconstrained conditions
S Karanwal - Multimedia Tools and Applications, 2024 - Springer
Plentiful of local descriptors has been reported based on Local Binary Pattern (LBP). LBP
and most of them establishes a uniform coordination among neighbors and center pixel to …
and most of them establishes a uniform coordination among neighbors and center pixel to …
改进多尺度卷积神经网络的人脸表情识别研究.
李军， 李明 - Journal of Chongqing University of Posts & …, 2022 - search.ebscohost.com
为了有效改善现有人脸表情识别模型中存在的信息丢失严重, 组件间相对空间联系不密切的问题
ꎬ 提出了一种改进的多尺度卷积神经网络模型ꎬ 通过构建深层多尺度卷积神经网络ꎬ …
ꎬ 提出了一种改进的多尺度卷积神经网络模型ꎬ 通过构建深层多尺度卷积神经网络ꎬ …
Fusion of transformed shallow features for facial expression recognition
Facial expression conveys important signs about the human affective state, cognitive activity,
intention and personality. In fact, the automatic facial expression recognition systems are …
intention and personality. In fact, the automatic facial expression recognition systems are …