his paper presents a hybrid descriptor for 3D point matching and point cloud registration. It combines local geometric properties with learning-based feature propagation to describe the neighborhood structure of each point. The architecture first extracts prior geometric information by computing the planarity, anisotropy, and omnivariance of each point using Principal Component Analysis (PCA). This information is augmented by a descriptor based on normal vectors estimated by a triangle-based shape construction.