Texture and Orientation-based Feature Extraction for Robust Facial Expression Recognition-Reference-Cited by-同舟云学术

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Texture and Orientation-based Feature Extraction for Robust Facial Expression Recognition

Published:2023-05-23 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA)
language:
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Author:

Khan Sajid Ali¹,Bin Abdulrahman Alawairdhi Mohammed²,AL-Akhras Mousa³

Affiliation:

1. Foundation University Islamabad,Department of Software Engineering,Islamabad,Pakistan

2. Saudi Electronic University,College of Computing and Informatics,Saudi Arabia

3. The University of Jordan Amman,King Abdullah II School for Information Technology,Computer Information Systems Department

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10197651/10197644/10197798.pdf?arnumber=10197798

Reference25 articles.

1. Reliable facial expression recognition for multi-scale images using weber local binary image based cosine transform features

2. Automatic facial emotion recognition using weber local descriptor for e-Healthcare system

3. Weighted-fusion feature of MB-LBPUH and HOG for facial expression recognition

4. Face Expression Recognition Using Weber Local Descriptor and F-RBFNN

5. Facial Feature Extraction Using a Symmetric Inline Matrix-LBP Variant for Emotion Recognition

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