1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning
Ray Zhang, Zheming Zhou, Min Sun +5
This paper introduces a robust unsupervised SE(3) point cloud registration method that operates without requiring point correspondences. The method frames point clouds as functions…
cs.RO2024★ 1 cited
RKHS-BA: A Robust Correspondence-Free Multi-View Registration Framework with Semantic Point Clouds
Ray Zhang, Jingwei Song, Xiang Gao +5
This work reports a novel multi-frame Bundle Adjustment (BA) framework called RKHS-BA. It uses continuous landmark representations that encode RGB-D/LiDAR and semantic observations…