A hybrid feature descriptor with Jaya optimised least squares SVM for facial expression recognition-Reference-Cited by-同舟云学术

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A hybrid feature descriptor with Jaya optimised least squares SVM for facial expression recognition

Published:2021-01-05 Issue:7 Volume:15 Page:1471-1483
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Kar Nikunja Bihari¹²,Nayak Deepak Ranjan³^ORCID,Babu Korra Sathya²,Zhang Yu‐Dong⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering Siksha O Anusandhan (Deemed to be University) Bhubaneswar Odisha India

2. Department of Computer Science and Engineering National Institute of Technology Rourkela India

3. Department of Computer Science and Engineering Malaviya National Institute of Technology Jaipur India

4. Department of Informatics University of Leicester Leicester UK

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/ipr2.12118

Reference44 articles.

1. Towards the automatic detection of spontaneous agreement and disagreement based on nonverbal behaviour: A survey of related cues, databases, and tools;Bousmalis K.;Image and Vision Computing

2. Viola P. et al.:Rapid object detection using a boosted cascade of simple features.Conference on Computer Vision and Pattern Recognition (CVPR)1 511–518(2001).https://doi.org/10.1109/CVPR.2001.990517

3. Kar N.B. Babu K.S. Jena S.K.:Face expression recognition using histograms of oriented gradients with reduced features. In:International Conference on Computer Vision and Image Processing pp.209–219.Springer Berlin(2017)https://doi.org/10.1007/978-981-10-2107-7_19

4. Wang X. et al.:Feature fusion of HOG and WLD for facial expression recognition. In:International Symposium on System Integration pp.227–232.IEEE Piscataway NJ(2013)https://doi.org/10.1109/SII.2013.6776664

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