Face Recognition on FERET
99.9Fb AccuracyG-LQP
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| G-LQP2014.04 | 99.9 | 100 | 93.2 | 91 | 96.03 | |
| GOM2014.04 | 99.9 | 100 | 95.7 | 93.1 | 97.18 | |
| SPOEM+POD2014.04 | 99.7 | 100 | 94.9 | 94 | 97.15 | |
| PCANet-2Training Set=FERET standard training CD2014.04 | 99.67 | 99.48 | 95.84 | 94.02 | 97.25 | |
| POEM2014.04 | 99.6 | 99.5 | 88.8 | 85 | 93.2 | |
| PCANet-2Training Set=MultiPIE2014.04 | 99.58 | 100 | 95.43 | 94.02 | 97.26 | |
| PCANet-1Training Set=MultiPIE2014.04 | 99.5 | 98.97 | 89.89 | 86.75 | 93.78 | |
| PCANet-1Training Set=FERET standard training CD2014.04 | 99.33 | 99.48 | 88.92 | 84.19 | 92.98 | |
| LGBP-LGXP2014.04 | 99 | 99 | 94 | 93 | 96.25 | |
| DMMA2014.04 | 98.1 | 98.5 | 81.6 | 83.2 | 89.6 | |
| P-LBP2014.04 | 98 | 98 | 90 | 85 | 92.75 | |
| LBP2014.04 | 93 | 51 | 61 | 50 | 63.75 |