Name
Title | ||
|---|---|---|
Face illumination recovery for the deep learning feature under severe illumination variations |
Abstract | ||
|---|---|---|
•The illumination recovery model converts severe varying illumination to slight/moderate varying illumination for the deep learning feature.•The gradient descent algorithm is employed to tackle the illumination recovery model.•The GRI is generated by normalizing singular values of the logarithm version of the severe illumination variation face image to have unit L2-norm.•The GRIR preserves better face inherent information than the GRI. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.patcog.2020.107724 | Pattern Recognition |
Keywords | DocType | Volume |
Severe illumination variations,Face recognition,Illumination recovery model,Deep learning feature | Journal | 111 |
Issue | ISSN | Citations |
1 | 0031-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chang-Hui Hu | 1 | 1 | 1.76 |
| Jianjun Yu | 2 | 2 | 2.65 |
| Fei Wu | 3 | 124 | 7.11 |
| Yang Zhang | 4 | 0 | 0.34 |
| Xiao-Yuan Jing | 5 | 769 | 55.18 |
| Xiaobo Lu | 6 | 6 | 5.12 |
| Pan Liu | 7 | 36 | 6.75 |