Dec 14, 2018 · In this paper, an effective and novel approach to recognize the emotions using facial expressions by the fusion of duplex features is proposed.
In this paper, an effective and novel approach to recognize the emotions using facial expressions by the fusion of duplex features is proposed. The proposed ...
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Dec 14, 2018 · Since a person's emotional state has an external appearance on his/her face and the emotions can be recognized from his/her face, one of the ...
In this paper, we propose an automatic emotion recognition system through facial analysis. We compare the use of two distinct image descriptors.
The feature extraction process extracts the local and global features of facial regions namely, appearance, shape, texture, motion, landmarks, geometry etc [25] ...
Sep 22, 2022 · The CNN-CLBP algorithm can recognize 97% of the happy expressions and surprised expressions, but the misidentification rate of sad expressions is 22.54%.
Nov 3, 2021 · In this work, we are proposing deep learning as well as handcraft‐based model to detect the facial expressions. In this model, we are using CNN ...
Sep 18, 2021 · Emotion recognition using facial expression by fusing key points descriptor and texture features. Multimedia Tools and Applications, 78 (12) ...
Dynamic facial expression recognition has many useful applications in social networks, multimedia content analysis, security systems and others.
We propose a simplified algorithm framework using fusion features extracted from the salient areas of faces.