Facial emotion recognition using modified HOG and LBP features with deep stacked autoencoders-Reference-Cited by-同舟云学术

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Facial emotion recognition using modified HOG and LBP features with deep stacked autoencoders

Published:2021-04 Issue: Volume:82 Page:103834
ISSN:0141-9331
Container-title:Microprocessors and Microsystems
language:en
Short-container-title:Microprocessors and Microsystems

Author:

Lakshmi D.,Ponnusamy R.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference31 articles.

1. Facial expression recognition: a survey;Huang;Symmetry (Basel),2019

2. Mofa: model-based deep convolutional face autoencoder for unsupervised monocular reconstruction;Tewari,2017

3. Recognizing human actions: a local svm approach;Schuldt,2004

4. The extended cohn-kanade dataset (ck+): a complete dataset for action unit and emotion-specified expression;Lucey,2010

5. Coding facial expressions with Gabor wavelets;Lyons,1998

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