Point cloud registration plays a crucial role in 3D map** and localization. Urban scene
point clouds pose significant challenges for registration due to their large data volume …

LiDAR odometry is a fundamental task for high-precision map construction and real-time
and accurate localization in autonomous driving. However, point clouds in urban road …

Point cloud registration is a crucial technique in 3D computer vision with a wide range of
applications. However, this task can be challenging, particularly in large fields of view with …

Point cloud registration is one of the essential tasks in 3D vision. However, most existing
methods mainly locate the point correspondences based on geometric information or adopt …

Point-by-point labeling of point clouds is a very costly task. Previous meta-learning-based
few-shot methods predict categories by calculating the distance between unlabeled data …

3-D point cloud registration is a prerequisite for scene reconstruction and 3-D object
recognition in computer vision and remote sensing. Numerous previous studies have …

Point cloud primitive segmentation aims to segment the surface point cloud into various
geometric types of primitives, which plays a vital role in robot operation and industrial …