curvature_to_table — REPRCONV `curvature` op

• Data kinds: curvature → table

• Call: import reprconv; reprconv.curvature_to_table(curvature) (or opsreprconv.get("curvature_to_table"))

Usage

Curvature → a `table` summarising its distribution. One-way (a statistic's job is to throw information away).

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

(N,) の単独曲率も (N,2) の主曲率対も受ける —— 統計を出すだけなら対で

ある必要が無いため。`kind` に受けた形を書き戻すので、下流は「対だったのか」

を後から判別できる。

Args:

curvature: (N,) / (N, 2) / 2 本の等長 1-D のタプル。

Returns:

dict。`kind / n / min / max / mean / rms` /

`p05 / p50 / p95、対なら gauss_mean`(K = k1*k2 の平均)と

`mean_curvature_mean`((k1+k2)/2 の平均)。

Raises:

ValueError: 形状不正 / 非有限。

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.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• representation_conversion — py -3.11 examples/representation_conversion.py

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

—

Same category (`curvature`)

curvature_to_shape_index · shape_index_to_curvature

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

curvature_to_table — REPRCONV curvature op