Table 2 Classification accuracy rate in percent with shape keypoint functions
From: 3D shape representation with spatial probabilistic distribution of intrinsic shape keypoints
Keypoint functions | Washington RGB-D | SR4K-D | ||
|---|---|---|---|---|
| Â | Multiclass classification | Neural networks | Multiclass classification | Neural networks |
KPD2 | 93.093 | 93.380 ± 0.730 | 90.643 | 82.570 ± 3.340 |
KPD3 | 87.535 | 87.350 ± 1.630 | 90.059 | 83.710 ± 4.010 |
KPA3 | 85.212 | 80.220 ± 1.090 | 83.041 | 71.180 ± 5.790 |
GKPD2 | 91.228 | 90.030 ± 0.960 | 91.328 | 88.380 ± 4.410 |
GKPD1 | 88.110 | 84.100 ± 0.890 | 79.532 | 78.980 ± 5.310 |
GKPCD2 | 86.900 | 83.530 ± 0.810 | 81.870 | 81.300 ± 1.940 |
KPD2 + KPA3 | 97.9801 | 97.15 ± 1.46 | 95.3215 | 97.15 ± 1.46 |
KPD2 + GKPD2 | 96.961 | 97.07 ± 0.49 | 92.3977 | 94.76 ± 3.30 |
KPD2 + GKPCD2 | 97.9926 | 97.06 ± 3.49 | 95.9064 | 93.39 ± 2.90 |
KPD2 + GKPD2 + GKPCD2 | 97.824 | 97.32 ± 0.43 | 94.7638 | 94.99 ± 2.96 |
KPA3 + KPD2 + GKPD2 + GKPDC2 | 98.4863 | 98.0448 ± 1.83 | 97.274 | 96.58 ± 2.38 |