Feature Extraction Trends for Intelligent Facial Expression Recognition: A Survey | Zendy

Irfan Azam | Zendy; Sajid Ali Khan | Zendy

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Feature Extraction Trends for Intelligent Facial Expression Recognition: A Survey

Author(s) -

Irfan Azam,

Sajid Ali Khan

Publication year - 2018

Publication title -

informatica

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 34

eISSN - 1854-3871

pISSN - 0350-5596

DOI - 10.31449/inf.v42i4.2037

Subject(s) - facial expression , feature extraction , computer science , facial expression recognition , expression (computer science) , artificial intelligence , facial recognition system , feature (linguistics) , three dimensional face recognition , pattern recognition (psychology) , face (sociological concept) , task (project management) , face detection , process (computing) , face hallucination , speech recognition , computer vision , engineering , social science , linguistics , philosophy , systems engineering , sociology , programming language , operating system

Human facial expression is important means of non-verbal communication and conveys a lot more information visually than vocally. In Human-machine interaction facial expression recognition plays a vital role. Still facial expression recognition through machines like computer is a difficult task. Face detection, feature extraction and expression classification are the three main stages in the process of Facial Expression Recognition (FER). This survey mainly covers the recent work on FER techniques. It especially focuses on the performance including efficiency and accuracy in face detection, feature extraction and classification methods.

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