estimate_oriented_normals — 3D `normals_orient` op

• Data kinds: points → normals

• Call: import fullseye as fs; fs.ledger.estimate_oriented_normals(points, k: 'int' = 20, seed_dir=None) -> 'np.ndarray' (to call the implementation directly, import normals_orient; normals_orient.estimate_oriented_normals(points, k: 'int' = 20, seed_dir=None) -> 'np.ndarray'; from the registry, ops3d.get("estimate_oriented_normals"))

Usage

PCA normal estimation combined with Hoppe's global orientation. → oriented unit normals (N,3).

> The detailed description below is the original text — the summary and the headings are translated.

:func:estimate_normals(向き未定)→ :func:orient_normals(MST 伝播)を通す。

閉曲面なら全点外向き、平面なら全点同一半球にそろう。得た法線を

`curvature3d.shape_index` に渡すと凹/凸符号が正しく出る。

Args:

points: (N,3) の点群。

k: PCA 近傍数と kNN グラフ近傍数(共通)。

seed_dir: 大域基準向き (3,)。None なら重心から外向き。

Returns:

(N,3) の大域一貫・向き付き単位法線。

Background guides (the physics and conventions behind this op)

• blender_interop — Blender との併用 — 形を作って fullseye で測る(軸・単位・正解データの罠)

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)

• 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 (`normals_orient`)

orient_normals

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

estimate_oriented_normals — 3D normals_orient op