A Survey on Various Facial Expression Recognition Techniques |
Author(s): |
| Parth Patel , L. D. College of Engineering, Ahmedabad; Prof. Khushali Raval, L. D. College of Engineering, Ahmedabad |
Keywords: |
| Principal Component Analysis (PCA), Support Vector Machine (SVM), Multilayer feed-forward neural network (MFFNN), Artificial Neural Network (ANN), Linear Discriminant Analysis (LDA), Discrete Wavelet transform (DWT) |
Abstract |
|
Over the last two decades, Facial Expression Recognition is an important field in Computer vision & Artificial Intelligent. Facial Expression plays an important role in Human communication, so it is mostly used in Human Computer Interaction (HCI) interface. Recognizing Human Facial Expression is challenging task because of the variation in illumination, pose and occlusion .In this paper we have surveyed various feature extraction method and different classifier for facial expression recognition. |
Other Details |
|
Paper ID: IJSRDV3I30967 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 1524-1527 |
Article Preview |
|
|
|
|
