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