Name
Abstract | ||
|---|---|---|
In this paper, we propose a method for pose-invariant facial expression recognition from monocular video sequences. The advantage of our method is that, unlike existing methods, our method uses a simple model, called the variable-intensity template, for describing different facial expressions. This makes it possible to prepare a model for each person with very little time and effort. Variable-intensity templates describe how the intensities of multiple points, defined in the vicinity of facial parts, vary with different facial expressions. By using this model in the framework of a particle filter, our method is capable of estimating facial poses and expressions simultaneously. Experiments demonstrate the effectiveness of our method. A recognition rate of over 90% is achieved for all facial orientations, horizontal, vertical, and in-plane, in the range of 卤40 degrees, 卤20 degrees, and 卤40 degrees from the frontal view, respectively. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/s11263-008-0185-x | International Journal of Computer Vision |
Keywords | DocType | Volume |
Facial expression recognition,Variable-intensity templates,Intensity distribution models,Particle filter | Conference | 83 |
Issue | ISSN | ISBN |
2 | 0920-5691 | 3-540-76385-6 |
Citations | PageRank | References |
33 | 1.51 | 46 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shiro Kumano | 1 | 149 | 16.82 |
| Kazuhiro Otsuka | 2 | 619 | 54.15 |
| Junji Yamato | 3 | 1120 | 165.72 |
| Eisaku Maeda | 4 | 370 | 32.57 |
| Yoichi Sato | 5 | 2289 | 167.78 |