Name
Abstract | ||
|---|---|---|
The eye localization is a fundamental step in human-computer interaction and automatic face recognition. In this paper, a new eye detection method for face images is proposed. Firstly, the rough eye positions are found by Gabor transformation and cluster analysis. Secondly, a detection of pupil centers will be continued by applying two neighborhood operators in the rough eye regions. A subset of the color FERET database and the Faces 1999 database are used to evaluate the proposed method. Results of experiments show that our method is robust and efficient. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1734605.1734619 | ICIMCS |
Keywords | Field | DocType |
rough eye region,new eye detection method,frontal view face image,face image,eye detection,eye localization,color feret database,neighborhood operator,rough eye position,precise eye detection,cluster analysis,automatic face recognition,gabor transformation,gabor transform,human computer interaction,face recognition | Facial recognition system,Computer vision,Pattern recognition,Object-class detection,Computer science,Pupil,Artificial intelligence,Face detection,FERET database,Eye detection | Conference |
Citations | PageRank | References |
0 | 0.34 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiming Qian | 1 | 19 | 4.06 |
| Yonghui Tian | 2 | 0 | 0.34 |
| Dan Xu | 3 | 14 | 2.10 |