Fusion of transformed shallow features for facial expression recognition-Reference-Cited by-同舟云学术

Fusion of transformed shallow features for facial expression recognition

Published:2019-06-18 Issue:9 Volume:13 Page:1479-1489
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Bougourzi Fares¹,Mokrani Karim¹,Ruichek Yassine²,Dornaika Fadi³⁴,Ouafi Abdelkrim⁵,Taleb‐Ahmed Abdelmalik⁶

Affiliation:

1. LTII LaboratoryUniversity of BejaiaBejaiaAlgeria

2. Le2i FRE2005, CNRS, Arts et MetiersUniversity of Bourgogne Franche‐Comte, UTBMF‐90010BelfortFrance

3. Department of Computer Science and Artificial IntelligenceUniversity of the Basque CountrySan SebastianSpain

4. IKERBASQUE, Basque Foundation for ScienceBilbaoSpain

5. LESIA LaboratoryUniversity of BiskraAlgeria

6. UPHF LaboratoryIEMN DOAE UMR8510ValenciennesFrance

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/iet-ipr.2018.6235

Reference65 articles.

1. 2016 15th Ibero‐American Conference on AI San José Costa Rica B. Martinez M.F. Valstar K. Kawulok E. Celebi B. Smolka Advances challenges and opportunities in automatic facial expression recognition 63 100

2. Nonverbal Leakage and Clues to Deception†

3. R. Ekman 1997 Oxford University Press USA

4. Darwin, Deception, and Facial Expression

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