FF-LOGO: Cross-Modality Point Cloud Registration with Feature Filtering and Local to Global Optimization

arXiv:2309.08966v2 Announce Type: replace
Abstract: Cross-modality point cloud registration is confronted with significant challenges due to inherent differences in modalities between different sensors. We propose a cross-modality point cloud registration framework FF-LOGO: a cross-modality point cloud registration method with feature filtering and local-global optimization. The cross-modality feature correlation filtering module extracts geometric transformation-invariant features from cross-modality point clouds and achieves point selection by feature matching. We also introduce a cross-modality optimization process, including a local adaptive key region aggregation module …

arxiv cloud cs.cv feature filtering global logo optimization registration type