Orthogonal tucker decomposition using factor priors for 2D+3D facial expression recognition-Reference-Cited by-同舟云学术

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Orthogonal tucker decomposition using factor priors for 2D+3D facial expression recognition

Published:2021-04-26 Issue:6 Volume:10 Page:664-678
ISSN:2047-4938
Container-title:IET Biometrics
language:en
Short-container-title:IET biom.

Author:

Fu Yunfang¹²³^ORCID,Ruan Qiuqi¹³,Luo Ziyan⁴,An Gaoyun¹³^ORCID,Jin Yi¹³

Affiliation:

1. Institute of Information Science Beijing Jiaotong University Beijing China

2. School of Computer Science & Engineering Shijiazhuang University Shijiazhuang China

3. Beijing Key Laboratory of Information Science and Network Technology Beijing China

4. Department of Mathematics Beijing Jiaotong University Beijing China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/bme2.12035

Reference52 articles.

1. Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications

2. Static and dynamic 3D facial expression recognition: A comprehensive survey

3. 3D facial expression recognition: a perspective on promises and challenges;Fang T.;In: IEEE International Conference on Automatic Face and Gesture Recognition,2011

4. Selective Transfer Machine for Personalized Facial Expression Analysis

5. Automatic analysis of facial expressions: the state of the art

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