Name
Abstract | ||
|---|---|---|
This paper proposes an eye detection algorithm robust to head pose variation. First, face region is detected by Viola-Jones algorithm. Second, in order to detect eye robust to pose variation, a window template is generated from the 3D mean face model. Finally, eye is detected and localized by using this window template. In the experiments, the proposed method is tested on CAS-PEAL database. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ELINFOCOM.2014.6914360 | Electronics, Information and Communications |
Keywords | Field | DocType |
face recognition,3d face information,adaptive eye detection method,cas-peal database,viola-jones algorithm,eye robust detection,face region detection,head pose variation,window template,3d mean face model,eye detection,eye localization | Facial recognition system,Computer vision,Viola–Jones object detection framework,Three-dimensional face recognition,Object-class detection,Computer science,Speech recognition,Artificial intelligence,Face detection,Eye detection | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hyunjun Kim | 1 | 0 | 0.34 |
| Jinsu Kim | 2 | 0 | 0.34 |
| Jaihie Kim | 3 | 1282 | 83.11 |