Name
Abstract | ||
|---|---|---|
An efficient algorithm to iris segmentation and its application to automatic and non-intrusive gaze tracking and vigilance estimation is presented and discussed. A luminance gradient technique is used to fit the irises from face images. A robust preprocessing which mimics the human retina is used in such a way that a robust system to luminance variations is obtained and contrast enhancement is achieved. The validation of the proposed algorithm is experimentally demonstrated by using three well-known test databases: the FERET database, the Yale database and the Cohn-Kanade database. Experimental results confirm the effectiveness and the robustness of the proposed approach to be applied successfully in gaze direction and vigilance estimation. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11552499_27 | ICAPR (2) |
Keywords | Field | DocType |
robust preprocessing,yale database,feret database,luminance gradient technique,robust system,cohn-kanade database,eyes segmentation,proposed algorithm,efficient algorithm,vigilance estimation | Computer vision,Pattern recognition,Gaze,Computer science,Segmentation,Projection (set theory),Robustness (computer science),Preprocessor,Artificial intelligence,FERET database,Face detection,Luminance | Conference |
Volume | ISSN | ISBN |
3687 | 0302-9743 | 3-540-28833-3 |
Citations | PageRank | References |
7 | 0.54 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zakia Hammal | 1 | 156 | 13.67 |
| Corentin Massot | 2 | 20 | 2.12 |
| Guillermo Bedoya | 3 | 8 | 1.32 |
| Alice Caplier | 4 | 489 | 34.97 |