Learning intra-region contexts and inter-region relations are two effective strategies to strengthen feature representations for point cloud analysis. However, unifying the representation is not fully emphasized in existing methods. To this end, we propose a novel framework named Point Relation-Aware Network (PRA-Net), which composed of an Intra-region Structure (ISL) module Inter-region Relati...

Effective and efficient semantic segmentation of 3D point cloud data is important for many tasks. Many methods rely on computationally expensive sampling grouping layers to process irregular points, while others convert points into regular volumetric grids them with a U-Net-based network. However, most these suffer from high computational costs cannot be applied the real-time processing large-s...

To survive in the current shipbuilding industry, it is of vital importance for shipyards to have the ship components’ accuracy evaluated efficiently during most of the manufacturing steps. Evaluating components’ accuracy by comparing each component’s point cloud data scanned by laser scanners and the ship’s design data formatted in CAD cannot be processed efficiently when (1) extract components...