“In response to the problem of point cloud measurement matching distortion, the research team proposes a multi-level filtering network MulFNet, which extracts multi-level features of point clouds through a feature pyramid encoding network, obtains semantic information at different scales, and achieves accurate registration at low overlap rates, providing a solution to the problem of low overlap rate point cloud matching distortion.”