A Comprehensive Study of Major Techniques of Facial Expression Recognition
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 8
Abstract
Facial Expression Recognition is one of the challenging and active research topic in the recent years. Facial Expression Recognition System comprises the detection of face, facial feature extraction and classification of facial expression from still images. This paper summarizes the major techniques to recognize the facial expressions from still images. The techniques included in this paper are Principal Component Analysis, Singular Value Decomposition, Neural Network, Cloud Model, Fuzzy Model and K-Means Clustering Algorithm. The performance of these techniques is good enough and almost effective also except fuzzy model. Fuzzy model does not classify the expressions exactly. The main purpose of this research work is to present the major techniques of automatic facial expression recognition in a single view.
Authors and Affiliations
Tanvi Sheikh, , Shikha Agrawal,
Keywords
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