Name
Abstract | ||
|---|---|---|
Automatic human age estimation has considerable potential applications in human computer interaction and multimedia communication. However, the age estimation problem is challenging. We design a locally adjusted robust regressor (LARR) for learning and prediction of human ages. The novel approach reduces the age estimation errors significantly over all previous methods. Experiments on two aging databases show the success of the proposed method for human aging estimation. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/WACV.2008.4544009 | WACV |
Keywords | Field | DocType |
locally adjusted robust regressor,human age,face recognition,human age estimation,automatic human age estimation,human computer interaction,regression analysis,previous method,considerable potential application,age estimation error,age estimation problem,human aging estimation,robust regression,multimedia communication,novel approach | Facial recognition system,Computer vision,Regression analysis,Computer science,Robust regression,Speech recognition,Artificial intelligence,Machine learning | Conference |
ISSN | ISBN | Citations |
1550-5790 E-ISBN : 978-1-4244-1914-2 | 978-1-4244-1914-2 | 46 |
PageRank | References | Authors |
2.07 | 19 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guodong Guo | 1 | 2548 | 144.00 |
| Yun Fu | 2 | 4267 | 208.09 |
| Thomas S. Huang | 3 | 27815 | 2618.42 |
| Charles R. Dyer | 4 | 1098 | 113.57 |