Abstract
This paper describes a new clustering based feature extraction method for facial expression recognition. We demonstrate the effectiveness of this method and compare it with commonly used principal component analysis method and linear discriminant analysis method.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1295-1302 |
| Number of pages | 8 |
| Journal | Pattern Recognition Letters |
| Volume | 24 |
| Issue number | 9-10 |
| DOIs | |
| State | Published - Jun 2003 |
Keywords
- Clustering based discriminant analysis
- Facial expression recognition
- Human computer interaction
- Linear discriminant analysis
- Principal component analysis
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Artificial Intelligence