Point Cloud Registration on ModelNet40 Gaussian Noise twice-sampled (test)
1.305RMSE (R)OMNet
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| OMNet2021.03 | 1.305 | 0.757 | 0.0103 | 0.0075 | 1.49 | 0.0149 | |
| PRNet2021.03 | 3.197 | 2.047 | 0.0294 | 0.0195 | 3.932 | 0.0392 | |
| FMR2021.03 | 3.551 | 2.178 | 0.0273 | 0.0155 | 4.2 | 0.0307 | |
| DCP2021.03 | 4.775 | 2.964 | 0.0474 | 0.03 | 6.024 | 0.0616 | |
| Symmetric ICP2021.03 | 6.769 | 5.991 | 0.068 | 0.0609 | 11.895 | 0.1178 | |
| IDAM2021.03 | 6.846 | 3.997 | 0.0563 | 0.0318 | 7.81 | 0.0629 | |
| Go-ICP2021.03 | 12.337 | 3.88 | 0.056 | 0.0218 | 7.779 | 0.0433 | |
| DeepGMR2021.03 | 20.433 | 10.964 | 0.0944 | 0.0593 | 20.83 | 0.1183 | |
| ICP2021.03 | 21.265 | 9.918 | 0.0966 | 0.0541 | 18.54 | 0.107 | |
| PointNetLK2021.03 | 22.399 | 13.716 | 0.1092 | 0.0601 | 20.25 | 0.1291 | |
| FGR2021.03 | 34.035 | 19.188 | 0.1601 | 0.0942 | 35.775 | 0.185 |