Normal Estimation

A weighted normal estimation scheme adaptively weights neighbouring points based on local surface geometry confidence, producing more accurate normals at sharp features and noisy regions than standard PCA-based and learning-based methods.

Jul 1, 2023

Iteratively weighted principal component analysis and orientation consistency for normal estimation in point cloud

Iteratively re-weighted PCA combined with an orientation consistency propagation step robustly estimates surface normals in noisy and non-uniformly sampled point clouds, outperforming standard PCA normal estimation on sharp features and outlier-contaminated data.

Jan 1, 2020