Comparison of various Techniques for Automatic Facial Expression Recognition: A Survey

Vol-2 | Issue-5 | May-2015 | Published Online: 10 May 2015    PDF ( 209 KB )
Author(s)
Dhvani. H. Trivedi 1; Viral. A. Parekh 2

1Student of M.Tech. C. U. Shah College of Engineering and Technology, Surendranagar, Gujarat (India)

2Assistant Professor, Computer Engineering C. U. Shah College of Engineering and Technology, Surendranagar, Gujarat (India)

Abstract

In recent years, Emotion recognition using Automatic Recognition of Facial Expression is very important, active and popular area in Computer Vision. Facial Expression is used to expose the passion or sensation of any person as well as used to understand any person’s mental views and psychosomatic aspects. To detect the expression of any human face, it is required to detect the different features of faces like movements of nose, eye, chick, eyebrow etc. and then classify these different features by using trained dataset with the help of suitable classifier which are available for the expression recognition.

Keywords
Facial Expression, Image Processing, Human Behavior.
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