Point Cloud Classification

Point Cloud Classification is a task in the field of computer vision that involves classifying unordered sets of 3D points (point clouds). The goal of this task is to identify and distinguish different object or scene categories by analyzing point cloud data, thereby providing critical support for applications such as autonomous driving, robotic navigation, and 3D modeling.