A Literature Survey on Facial Expression Recognition techniques using Appearance based features
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2014 by IJCTT Journal|
|Year of Publication : 2014|
|Authors : Jaimini Suthar, Narendra Limbad|
|DOI : 10.14445/22312803/IJCTT-V17P131|
Jaimini Suthar, Narendra Limbad "A Literature Survey on Facial Expression Recognition techniques using Appearance based features". International Journal of Computer Trends and Technology (IJCTT) V17(4):161-165, Nov 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Ability of recognizing facial expression is important part of behavioural science, which helps to ease the communication. This ability can serve in many contexts. Hence, facial expression is an important research area over the last two decades. In this paper, we have surveyed various feature extraction methods, which is the success key to Facial Expression Recognition (FER). Facial Expression Recognition has light volume because the facial image, facial occlusion, faces colour / shape etc is not an easy to deal with. In this paper, we have presented few appearance based techniques like Gabor Filter, Principal Component Analysis (PCA), Local binary patterns (LBP), Linear Discriminant Analysis (LDA), with different classifiers like a Support Vector Machine (SVM), Artificial Neural Network (ANN), and fuzzy logic, which are used to recognize human expression in various conditions on different databases.
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Facial Expression Recognition (FER), Feature Extraction, Gabor Filter, Principle Component Analysis (PCA), Linear Discriminant Analysis.