smooth_flow — 3D `scene_flow3d` op

• Data kinds: points × points → flow_scattered

• Call: import fullseye as fs; fs.ledger.smooth_flow(pts0, pts1, k: 'int' = 10, n_iter: 'int' = 5) -> 'np.ndarray' (to call the implementation directly, import scene_flow3d; scene_flow3d.smooth_flow(pts0, pts1, k: 'int' = 10, n_iter: 'int' = 5) -> 'np.ndarray'; from the registry, ops3d.get("smooth_flow"))

Usage

Return a regularised flow (N, 3): the nearest-neighbour flow locally smoothed by neighbourhood averaging.

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

:func:nearest_neighbor_flow の生フロー(最近傍対応ゆえノイズが乗る)を、

`pts0` 空間の k 近傍トポロジ(自身を含む、1 度だけ構築)で反復平均する。

ゼロ平均ノイズを抑えつつ滑らかな変位場は概ね保存する(Jacobi 反復 =

フロー場のラプラシアン平滑化)。線形場は対称近傍で不偏、曲率のある場は

僅かに縮む(honest な平滑化バイアス)。

Args:

pts0: (N, 3) 時刻 0 の点群。

pts1: (M, 3) 時刻 1 の点群。

k: 平均に使う近傍数(自身含む)。

n_iter: 平滑化反復回数。

Returns:

(N, 3) 平滑化変位ベクトル場。

Raises:

ValueError: 形状不正、または pts0 非空なのに pts1 が空。

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)

• scene_flow_rigid — py -3.11 examples_3d/scene_flow_rigid.py

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

fuse_to_voxel

Same category (`scene_flow3d`)

nearest_neighbor_flow · rigid_flow

*Provenance: scene_flow3d.py — 3D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

smooth_flow — 3D scene_flow3d op