Name
Abstract | ||
|---|---|---|
In this paper, we present a novel high-frequency facial feature and a high-frequency-based sparse representation classification to tackle single sample face recognition (SSFR) under varying illumination. First, we propose the assumption that orthogonal triangular with column pivoting (QRCP) bases can represent intrinsic face surface features with different frequencies, and their corresponding ener... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIP.2018.2887346 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Face,Lighting,Face recognition,Feature extraction,Vehicles,Facial features,Surveillance | Facial recognition system,Computer vision,Weighting,Normalization (statistics),Pattern recognition,Sparse approximation,Feature extraction,Artificial intelligence,Pixel,Mathematics | Journal |
Volume | Issue | ISSN |
28 | 5 | 1057-7149 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Changhui Hu | 1 | 34 | 5.65 |
| Xiaobo Lu | 2 | 141 | 25.71 |
| Pan Liu | 3 | 36 | 6.75 |
| Xiao-Yuan Jing | 4 | 211 | 26.18 |
| Dong Yue | 5 | 3320 | 214.77 |