Name
Abstract | ||
|---|---|---|
The different face regions have different degrees of importance for face recognition. In previous Hausdorff distance (HD) measures, points are treated as same importance, or weight different points that calculated from gray domain. In this paper, a new weighting function of HD based on the eigenface from edge domain, which reflects the discriminative properties of face edge images effectively, is proposed for face recognition. Experiments show the proposed method outperforms previous HD measures. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1080/18756891.2011.9727894 | INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS |
Keywords | Field | DocType |
Face Recognition, Hausdorff Distance, Weighting Function, Eigenface | Facial recognition system,Computer vision,Weighting,Eigenface,Pattern recognition,Hausdorff distance,Artificial intelligence,Discriminative model,Mathematics | Journal |
Volume | Issue | ISSN |
4 | 6 | 1875-6891 |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huachun Tan | 1 | 132 | 10.03 |
| Yu Jin Zhang | 2 | 1272 | 93.14 |
| Wuhong Wang | 3 | 94 | 13.30 |
| Guangdong Feng | 4 | 24 | 1.82 |
| Hui Xiong | 5 | 3 | 2.77 |
| Jie Zhang | 6 | 0 | 0.34 |
| Yong Li. | 7 | 0 | 0.34 |