Skip to main content

Advertisement

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
  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
  1. Maximum values are in bold