Table 7.
Normalized confusion matrix using 300 principal components (PCs) and synthetic training dataset and a voxel grid with frontal view and a subset of objects.
| Estimated Class | 1 | 0.98 | 0 | 0 | 0.04 | 0.02 | 0 | 0.02 | 0.02 | 0 | 0 |
| 2 | 0 | 0.98 | 0.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 3 | 0 | 0 | 0.86 | 0 | 0 | 0 | 0 | 0 | 0.02 | 0.2 | |
| 4 | 0.01 | 0 | 0 | 0.86 | 0 | 0.14 | 0 | 0 | 0 | 0 | |
| 5 | 0 | 0 | 0 | 0 | 0.95 | 0 | 0 | 0 | 0 | 0.02 | |
| 6 | 0 | 0 | 0.01 | 0.04 | 0 | 0.85 | 0.04 | 0.12 | 0 | 0.04 | |
| 7 | 0 | 0.02 | 0 | 0 | 0.03 | 0 | 0.73 | 0.18 | 0 | 0.04 | |
| 8 | 0 | 0 | 0.09 | 0.05 | 0 | 0 | 0.15 | 0.60 | 0 | 0.40 | |
| 9 | 0.01 | 0 | 0.01 | 0.01 | 0 | 0.01 | 0.06 | 0.06 | 0.85 | 0 | |
| 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.13 | 0.30 | |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | ||
| Input Class | |||||||||||