describe — 3D `shape_descriptor` op

• Data kinds: points → descriptor

• Call: import fullseye as fs; fs.ledger.describe(points, bins: 'int' = 64, seed: 'int' = 0) -> 'np.ndarray' (to call the implementation directly, import descriptors3d; descriptors3d.describe(points, bins: 'int' = 64, seed: 'int' = 0) -> 'np.ndarray'; from the registry, ops3d.get("describe"))

Usage

A global shape descriptor concatenating D2 + A3 + extent.

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

長さ 2*bins + 3 の 1 次元 float64 ベクトル。並びは [d2(bins), a3(bins), extent(3)]。

各部分ブロックはそれぞれ総和 1 に正規化済みなので、L1 距離での比較時に 3 指標が

おおよそ等しい重みで効く。

Parameters

----------

points : array_like, shape (N, 3)

点群。N >= 3 が必要。

bins : int

D2 / A3 それぞれの bin 数。

seed : int

D2 / A3 の乱択シード(両者に同一 seed を渡す)。

Returns

-------

np.ndarray, shape (2*bins + 3,)

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)

• denoise_evolution — py -3.11 examples_3d/denoise_evolution.py

• shape_desc_pose — py -3.11 examples_3d/shape_desc_pose.py

• shape_retrieval — py -3.11 examples_3d/shape_retrieval.py

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

fuse_to_voxel · shape_distance

Same category (`shape_descriptor`)

d2_distribution · a3_distribution · extent_signature · shape_distance

*Provenance: descriptors3d.py — 3D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

describe — 3D shape_descriptor op