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Brief Technical Analysis of Facial Expression Recognition

  • Lei Xu
  • Aolei YangEmail author
  • Minrui Fei
  • Wenju Zhou
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 924)

Abstract

Facial expression recognition (FER) is the current hot research topic, and it is widely used in the fields of pattern recognition, computer vision and artificial intelligence. As it is an important part of intelligent human-computer interaction technology, the FER has received widespread attention in recent years, and researchers in different fields have proposed many approaches for it. This paper reviews recent developments on FER approaches and the key technologies involved in the FER system: face detection and preprocessing, facial expression feature extraction and facial expression classification, which are analyzed and summarized in detail. Finally, the state-of-the-art of the FER is summarized, and its future development direction is pointed out.

Keywords

Computer vision Artificial intelligence Facial expression Feature extraction Classification 

Notes

Acknowledgements

This work is supported by Natural Science Foundation of Shanghai (No. 18ZR1415100), National Science Foundation of China (61473182, 61773253), Science and Technology Commission of Shanghai Municipality (15JC1401900) and Key research and development project of Yantai (2017ZH061).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and AutomationShanghai UniversityShanghaiChina

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