3D Point Cloud Classification

3D Point Cloud Classification is an important task in the field of computer vision, aiming to assign category labels to each point in 3D point cloud data. The goal of this task is to automatically identify and classify different objects or structures within the point cloud using algorithms, thereby achieving a precise understanding of complex environments. 3D Point Cloud Classification has broad application value in areas such as autonomous driving, robot navigation, indoor scene reconstruction, and industrial inspection, significantly enhancing the perception and intelligence levels of systems.