Review on Facial Micro – Expression Detection
C.Gnanaprakasam1, Manoj Kumar Rajagopal2
1C. Gnanaprakasam, Research Scholar, SENSE, Vellore Institute of Technology, Chennai Campus, Tamil Nadu.
2Dr. Manoj Kumar Rajagopal, Associate Professor, SENSE, Vellore Institute of Technology, Chennai Campus, Tamil Nadu.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 1103-1115 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6589068819/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: An important issue of the emotional recognition, the Micro-expression recognition has received very long attention and fast development in past one decade. In the paper, our own selves give a view of the growth of the in recognition of Micro-expression. This elaborate various feature extraction methods, various classification techniques and various databases were discussed which are used to estimate the Micro-expression. In the conclusion, we discuss existing research challenges in the Micro-expression to enhance the recognition rate.
Keyword: Facial Micro-expression, Feature extraction.
Scope of the Article: Microwave Photonics.