Facial Expression Recognition using PCA |
Author(s): |
| Shubham Sharma , Galgotia college of engineering and technology; Razz Verma, galgotia college of engineering and technology; Manish Kumar Sharma, galgotia college of engineering and technology; Vijay Kumar, galgotia college of engineering and technology |
Keywords: |
| Facial Expression Detection, Feature Extraction Database, Principal Component Analysis (PCA) |
Abstract |
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Facial expressions play an important role in human communication. In this paper we implements facial expression recognition techniques using Principal Component analysis (PCA). Facial expression can be classified into some discreet classes (like happiness, sadness, disgust, fear, anger and surprise) whereas absence of any expression is the “Neutral†expression. Intensity of a particular expression can be identified by the level of its “Dissimilarity†from the Neutral expression. |
Other Details |
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Paper ID: IJSRDV4I21777 Published in: Volume : 4, Issue : 2 Publication Date: 01/05/2016 Page(s): 1905-1907 |
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