Research Article
A Robust Invariant Local Feature Matching Method for Changing Scenes
Table 7
The experimental contrast results.
| Matching algorithm | Local feature | HEstimation | Precision | Recall |
| AGNN + Sinkhorn | SIFT | 0.656 | 0.625 | 0.413 | AGNN + Sinkhorn | ORB | 0.692 | 0.677 | 0.579 | Nearest neighbor | SIFT | 0.643 | 0.514 | 0.349 | Nearest neighbor | ORB | 0.687 | 0.572 | 0.421 | Nearest neighbor | Superpoint | 0.651 | 0.594 | 0.445 | Nearest neighbor | Des + NetVLAD | 0.687 | 0.625 | 0.494 | SuperGlue [19] | 0.668 | 0.725 | 0.596 | Our proposed method | 0.784 | 0.807 | 0.634 | Promotion | 0.097 | 0.082 | 0.038 |
|
|