Calculating Normal Vectors for 3D Point Cloud Data

A method for computing normal vectors of 3D point cloud data, successfully implemented in facial modeling applications. Provides excellent performance with accurate normal vector extraction, but requires non-overlapping point clouds to avoid critical errors. Implementation typically involves neighborhood analysis and PCA-based surface fitting.