Point Cloud Classification on Synthetic Point Clouds Gaussian Noise η=0.1
0.973AccuracyPD
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| PDHomological Dimension=H1, Distance Metric=L22015.07 | 0.973 | 1,042 | |
| PLHomological Dimension=H0, Distance Metric=L12015.07 | 0.967 | 33 | |
| PDHomological Dimension=H0, Distance Metric=L12015.07 | 0.96 | 42,613 | |
| PDHomological Dimension=H1, Distance Metric=L12015.07 | 0.96 | 703 | |
| PIHomological Dimension=H0, Distance Metric=Linf2015.07 | 0.96 | 9 | |
| PIHomological Dimension=H1, Distance Metric=L22015.07 | 0.96 | 18 | |
| PIHomological Dimension=H1, Distance Metric=Linf2015.07 | 0.96 | 18 | |
| PIHomological Dimension=H0, Distance Metric=L12015.07 | 0.953 | 9 | |
| PIHomological Dimension=H0, Distance Metric=L22015.07 | 0.953 | 9 | |
| PIHomological Dimension=H1, Distance Metric=L12015.07 | 0.953 | 18 | |
| PDHomological Dimension=H0, Distance Metric=L22015.07 | 0.913 | 25,138 | |
| PLHomological Dimension=H0, Distance Metric=L22015.07 | 0.82 | 34 | |
| PLHomological Dimension=H1, Distance Metric=L12015.07 | 0.807 | 48 | |
| PDHomological Dimension=H1, Distance Metric=Linf2015.07 | 0.667 | 564 | |
| PLHomological Dimension=H1, Distance Metric=L22015.07 | 0.667 | 69 | |
| PLHomological Dimension=H1, Distance Metric=Linf2015.07 | 0.667 | 9 | |
| PDHomological Dimension=H0, Distance Metric=Linf2015.07 | 0.633 | 1,149 | |
| PLHomological Dimension=H0, Distance Metric=Linf2015.07 | 0.633 | 2 |