Abstract: In this paper, we propose a novel network, SVDFormer, to tackle two specific challenges in point cloud completion: understanding faithful global shapes from incomplete point clouds and ...
Abstract: The extensive adoption of cloud computing platforms in storing and processing data have brought forth a new age of efficiency in the way data is stored, processed and managed, requiring new ...
Abstract: The weak geometric features and high repeatability of information in tunnel scenes are important factors that make point cloud fine registration very difficult. This makes it challenging for ...
Point cloud registration (PCR) is a fundamental and significant issue in photogrammetry and remote sensing, aiming to seek the optimal rigid transformation between sets of points. Achieving efficient ...
Pointblank takes a different approach to data quality. It doesn't have to be a tedious technical task. Rather, it can become a process focused on clear communication between team members. While other ...
Abstract: Navigation in complex 3-D scenarios requires appropriate environment representation for efficient scene understanding and trajectory generation. We propose a highly efficient and extensible ...
Abstract: Accurate extraction of tunnel lining is crucial for deformation monitoring, damage detection, and tunnel modeling. However, the extraction of tunnel lining is still challenging due to the ...
Abstract: Point cloud registration in SLAM plays a key role in mapping and localization tasks, which involves finding the transformation between two sets of point clouds. Iterative-based algorithms in ...
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