Facial expression recognition using a combination of enhanced local binary pattern and pyramid histogram of oriented gradients features extraction-Reference-Cited by-同舟云学术

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Facial expression recognition using a combination of enhanced local binary pattern and pyramid histogram of oriented gradients features extraction

Published:2020-12-14 Issue:2 Volume:15 Page:468-478
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Sharifnejad Maede¹,Shahbahrami Asadollah¹,Akoushideh Alireza²,Hassanpour Reza Zare³

Affiliation:

1. Department of Computer Engineering University of Guilan Rasht Iran

2. Department of Electronic Engineering Faculty of Shahid‐Chamran, Technical and Vocational University (TVU) Guilan Branch Rasht Iran

3. Department of Technology and Operations Management Erasmus University Rotterdam The Netherlands

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12037

Reference33 articles.

1. Geometric‐convolutional feature fusion based on learning propagation for facial expression recognition;Tang Y.;IEEE Access,2018

2. Communication without words;Mehrabian A.;Communication Theory,2008

3. Communication without words;Mehrabian A.;Psychol. Today,1968

4. Facial expressions recognition based on cognition and mapped binary patterns;Qi C.;IEEE Access,2018

5. Automatic facial expression analysis: a survey

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