3D Point Cloud Matching

3D Point Cloud Matching is a critical task in computer vision aimed at precisely aligning and matching two or more 3D point cloud datasets through algorithms. The goal of this task is to estimate the rigid or non-rigid transformations between the point clouds to minimize their geometric differences. 3D Point Cloud Matching holds significant application value in areas such as autonomous driving, robot navigation, 3D reconstruction, and virtual reality, enhancing the perception capabilities and environmental understanding accuracy of systems.