Registration of point clouds collected from a pair of distant vehicles provides a
comprehensive and accurate 3D view of the driving scenario which is vital for driving safety …

Point cloud registration is a fundamental task for estimating the rigid transformation matrix
between two point clouds, and is regarded as a prerequisite for downstream vision tasks …

As a fundamental problem in photogrammetry and remote sensing, terrestrial laser scanner
point cloud matching aims to seek a correspondence set that can match two partially …

Point cloud registration is a critical task in various 3D applications. Supervised approaches
are restricted by the difficulty and cost of acquiring ground-truth annotations. Thus …

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 …

Recent years have witnessed a signifcant breakthrough in the 3D domain. To track the most
recent advances in the 3D field, in this paper, we provide a comprehensive survey of recent …

Point cloud registration is a crucial task in computer vision and 3D reconstruction, aiming to
align multiple point clouds to achieve globally consistent geometric structures. However …

Deep neural networks (DNNs) in 3D scenes show a strong capability of extracting high-level
semantic features and significantly promote research in the 3D field. 3D shapes and scenes …