estimate_normals — 3D `curvature` op

• Data kinds: points → normals

• Call: import curvature3d; curvature3d.estimate_normals(points, k=25) (or ops3d.get("estimate_normals"))

Usage

Point-cloud normals made consistently outward (pointing away from the neighbourhood centroid). → (N,3).

Background guides (the physics and conventions behind this op)

• blas_threads_and_memory — 行列分解が遅い理由の知識 — BLAS スレッド・キャッシュ・メモリ配置

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

Runnable examples (verified samples that actually call this op)

• cylinder_axis_metrology — py -3.11 examples_3d/cylinder_axis_metrology.py

• feature_register — py -3.11 examples_3d/feature_register.py

• oriented_normals — py -3.11 examples_3d/oriented_normals.py

Ops the type connects to (they accept `normals` as input)

icp_point2plane · compute_fpfh · shot_descriptor · fuse_to_voxel · reflect · refract · normal_consistency · ransac_cylinder

Same category (`curvature`)

principal_curvatures · mean_curvature · gaussian_curvature · shape_index

*Provenance: curvature3d.py — 3D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

estimate_normals — 3D curvature op