[PDF][PDF] A new guaranteed outlier removal method based on plane constraints for large-scale LiDAR point cloud registration
G Ma, H Wei, R Lin, J Wu - Proc. 33rd Int. Joint Conf. Artif. Intell, 2024 - ijcai.org
In this paper, we present a novel registration method based on plane constraints for large-
scale LiDAR point clouds, effectively decoupling rotation estimation and translation …
scale LiDAR point clouds, effectively decoupling rotation estimation and translation …
PCGOR: A Novel Plane Constraints-based Guaranteed Outlier Removal Method for Large-Scale LiDAR Point Cloud Registration
G Ma, H Wei, R Lin, J Wu - IEEE Transactions on Geoscience …, 2024 - ieeexplore.ieee.org
Point cloud registration is a crucial challenge in photogrammetry and computer vision,
aimed at aligning adjacent point clouds optimally. In this article, we present a novel …
aimed at aligning adjacent point clouds optimally. In this article, we present a novel …
GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields
Although recent efforts have extended Neural Radiance Fields (NeRF) into LiDAR point
cloud synthesis, the majority of existing works exhibit a strong dependence on precomputed …
cloud synthesis, the majority of existing works exhibit a strong dependence on precomputed …
EADReg: Probabilistic Correspondence Generation with Efficient Autoregressive Diffusion Model for Outdoor Point Cloud Registration
Diffusion models have shown the great potential in the point cloud registration (PCR) task,
especially for enhancing the robustness to challenging cases. However, existing diffusion …
especially for enhancing the robustness to challenging cases. However, existing diffusion …