Name
Abstract | ||
|---|---|---|
Automatic face age estimation is a challenging task due to its complexity owing to genetic difference, behavior and environmental factors, and also the dynamics of facial aging between different individuals. In this paper, we propose a feature fusion method to estimate the face age via SVR, which ensembles global feature from Active Appearance Model (AAM) and the local feature from Gabor wavelet transformation. Our experimental results on UIUC-PAL database show that our proposed method works well. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-21090-7_30 | ISNN (2) |
Keywords | Field | DocType |
active appearance model,feature fusion method,ensembles global feature,challenging task,gabor wavelet transformation,automatic face age estimation,uiuc-pal database show,face age,local feature,gabor wavelets,genetics | Computer vision,Feature fusion,Pattern recognition,Computer science,Gabor wavelet,Active appearance model,Artificial intelligence,Machine learning | Conference |
Volume | ISSN | Citations |
6676 | 0302-9743 | 4 |
PageRank | References | Authors |
0.45 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wankou Yang | 1 | 535 | 34.68 |
| Cuixian Chen | 2 | 53 | 6.38 |
| Karl Ricanek | 3 | 165 | 18.65 |
| Changyin Sun | 4 | 2002 | 157.17 |