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Point Cloud Classification on Synthetic Point Clouds Gaussian Noise η=0.1

0.973AccuracyPD
0.61940.71120.8030.8948Jul 22, 2015

Evaluation results

MethodLinks
PDHomological Dimension=H1, Distance Metric=L22015.070.9731,042
PLHomological Dimension=H0, Distance Metric=L12015.070.96733
PDHomological Dimension=H0, Distance Metric=L12015.070.9642,613
PDHomological Dimension=H1, Distance Metric=L12015.070.96703
PIHomological Dimension=H0, Distance Metric=Linf2015.070.969
PIHomological Dimension=H1, Distance Metric=L22015.070.9618
PIHomological Dimension=H1, Distance Metric=Linf2015.070.9618
PIHomological Dimension=H0, Distance Metric=L12015.070.9539
PIHomological Dimension=H0, Distance Metric=L22015.070.9539
PIHomological Dimension=H1, Distance Metric=L12015.070.95318
PDHomological Dimension=H0, Distance Metric=L22015.070.91325,138
PLHomological Dimension=H0, Distance Metric=L22015.070.8234
PLHomological Dimension=H1, Distance Metric=L12015.070.80748
PDHomological Dimension=H1, Distance Metric=Linf2015.070.667564
PLHomological Dimension=H1, Distance Metric=L22015.070.66769
PLHomological Dimension=H1, Distance Metric=Linf2015.070.6679
PDHomological Dimension=H0, Distance Metric=Linf2015.070.6331,149
PLHomological Dimension=H0, Distance Metric=Linf2015.070.6332