Facial Expression Recognition and Analysis Techniques

7 Pages Posted: 14 May 2019

Date Written: July 15, 2018

Abstract

Facial Expression Recognition has emerged as a promising and active field of research in machine learning, pattern recognition and computer vision. Recognition of facial features in digital image processing continues to be a challenging task in the highly dynamic environment, although different techniques have been implemented for providing an enhanced and efficient way to extract these features from the images. In this survey paper the techniques and approaches used in FER have been discussed at length, various methods applied at each stage have been further explained. The components applied to each method, accuracy levels obtained and their benefits have been discussed .There are three steps in FER which include Feature detection, Feature extraction and Feature classification. A comparison of different approaches has been compiled to ascertain the accuracy and preference over other approaches.

Keywords: facial expression recognition, feature detection, feature extraction, feature classification

Suggested Citation

Gautam, Sumit, Facial Expression Recognition and Analysis Techniques (July 15, 2018). Available at SSRN: https://ssrn.com/abstract=3370149 or http://dx.doi.org/10.2139/ssrn.3370149

Sumit Gautam (Contact Author)

LG Electronics, Inc ( email )

LG Twin Tower 128, Yeoui-daero, Yeongdeungpo-gu
Seoul, 150-721
Korea, Republic of (South Korea)

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