2D-3D registration on MVSEC-E2P (test)
3.606RE (°)E2PNet
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| E2PNetInput Representation=Event (Tensor-based), Registration Framework=LCD (Retrieval-based)2023.11 | 3.606 | 0.821 | |
| E2PNetInput Representation=Event (Point-based), Registration Framework=LCD (Retrieval-based), w/o TR=true2023.11 | 4.422 | 0.768 | |
| ToreInput Representation=Event (Tensor-based), Registration Framework=LCD (Retrieval-based)2023.11 | 4.855 | 1.35 | |
| E-StatisticInput Representation=Event (Tensor-based), Registration Framework=LCD (Retrieval-based)2023.11 | 4.968 | 1.297 | |
| ECSNetInput Representation=Event (Point-based), Registration Framework=LCD (Retrieval-based)2023.11 | 4.985 | 1.263 | |
| E2PNetInput Representation=Event (Tensor-based), Registration Framework=DeepI2P (Registration-based)2023.11 | 5.127 | 0.164 | |
| E2PNetInput Representation=Event (Point-based), Registration Framework=DeepI2P (Registration-based), w/o TR=true2023.11 | 6.021 | 0.721 | |
| Grayscale ImageInput Representation=Traditional Image, Registration Framework=LCD (Retrieval-based)2023.11 | 6.335 | 1.347 | |
| E-StatisticInput Representation=Event (Tensor-based), Registration Framework=DeepI2P (Registration-based)2023.11 | 6.748 | 0.25 | |
| ToreInput Representation=Event (Tensor-based), Registration Framework=DeepI2P (Registration-based)2023.11 | 7.465 | 0.192 | |
| Grayscale ImageInput Representation=Traditional Image, Registration Framework=DeepI2P (Registration-based)2023.11 | 7.922 | 0.37 | |
| ECSNetInput Representation=Event (Point-based), Registration Framework=DeepI2P (Registration-based)2023.11 | 8.075 | 1.612 |