Research Article
Multipose Face Recognition-Based Combined Adaptive Deep Learning Vector Quantization
Table 3
The GAR (%) of the frontal view (V1), and multipose (V2, V3) for combined ADLVQ classifier.
| Multipose face images (V1, V2, V3) | SDUMLA-HMT | CASIA-V5 | V1 | V2 | V3 | V1 | V2 | V3 |
| ADLVQ-1[PS1] | 96.87 | 90.56 | 90.00 | 95.87 | 90.00 | 89.00 | ADLVQ-2[PS2] | 97.05 | 91.54 | 90.56 | 95.92 | 90.20 | 89.64 | ADLVQ-3[PS3] | 97.85 | 91.65 | 90.12 | 95.00 | 91.38 | 91.21 | ADLVQ-4[PS4] | 97.56 | 92.00 | 90.87 | 95.35 | 92.00 | 89.66 | ADLVQ-5[PS5] | 97.00 | 92.40 | 90.54 | 95.95 | 92.30 | 90.01 |
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V1 (Pose1): frontal view of face image, V2 and V3 (Pose2 and 3) multipose face images.
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