Encoding 3D Point Contexts for Self-Supervised Spall Classification Using 3D Bridge Point Clouds | Journal of Computing in Civil Engineering | Vol 37, No 2
AbstractGeometric features, such as normal and curvature, have been prominently used for point cloud-based unsupervised spall classification. In addition, some researchers use hand-crafted features (e.g., out-of-plane distance, eccentricity, principal curvatures in…