Data plays a crucial role in training learning-based methods for 3D point cloud registration. However, the real-world dataset is expensive to build, while rendering-based synthetic data suffers from ...
Abstract: This work presents a new completion method that specifically designed for low-overlapping partial point cloud registration. Based on the assumption that the candidate partial point clouds to ...
Abstract: The majority of point cloud registration methods currently rely on extracting features from points. However, these methods are limited by their dependence on information obtained from a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results