edge_points — 3D `edges` op

• Data kinds: voxel → points

• Call: import fullseye as fs; fs.ledger.edge_points(edge_mask) -> 'np.ndarray' (to call the implementation directly, import edges3d; edges3d.edge_points(edge_mask) -> 'np.ndarray'; from the registry, ops3d.get("edge_points"))

Usage

Turn an edge mask into an (M,3) coordinate point set (for downstream chamfer / Hough).

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

Parameters

----------

edge_mask : (D,H,W) bool

Returns

-------

pts : (M,3) float64

エッジ voxel の座標(axis0, axis1, axis2) = (z, y, x)。M = エッジ voxel 数。

エッジが無ければ shape (0,3) を返す。

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)

• edges_3d — py -3.11 examples_3d/edges_3d.py

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

points_to_voxel · gaussians_to_voxel · estimate_point_normals · to_points · match_points_ncc · match_pca · moment_axes · icp_point2point_3d

Same category (`edges`)

gradient3d · canny3d · log_zero_crossings · link_edges

*Provenance: edges3d.py — 3D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

edge_points — 3D edges op