Research Article
Fusing Two Kinds of Virtual Samples for Small Sample Face Recognition
Table 1
Classification error rates of the COVNFR method.
| Database | The number of training samples | 1 | 2 | 3 |
| | CRC-original | 0.3194 | 0.1656 | 0.1393 | ORL | CRC-virtual training samples only | 0.9306 | 0.9313 | 0.9643 | | CRC-COVNFR | 0.3778 | 0.2719 | 0.2750 |
| | CRC-original | 0.3733 | 0.1556 | 0.1083 | Yale | CRC-virtual training samples only | 0.9000 | 0.9333 | 0.9667 | | CRC-COVNFR | 0.3533 | 0.1259 | 0.1000 |
| | CRC-original | 0.5567 | 0.4160 | 0.5563 | FERET | CRC-virtual training samples only | 0.9592 | 0.8810 | 0.7937 | | CRC-COVNFR | 0.6200 | 0.5290 | 0.6525 |
| | CRC-original | 0.8437 | 0.7660 | 0.7641 | FLW | CRC-virtual training samples only | 0.9470 | 0.9608 | 0.9269 | | CRC-COVNFR | 0.9031 | 0.8314 | 0.8306 |
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