curvature_to_table — REPRCONV curvature op

• Data kinds: curvature → table

• Call: import fullseye as fs; fs.ledger.curvature_to_table(curvature) (to call the implementation directly, import reprconv; reprconv.curvature_to_table(curvature); from the registry, opsreprconv.get("curvature_to_table"))

Usage

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

Accepts both (N,) single curvatures and (N,2) principal curvature pairs -- just producing statistics does not need pairs. The received form is written back into kind, so downstream can tell afterwards "was it a pair".

Args:

curvature: (N,) / (N, 2) / a tuple of 2 equal-length 1-D arrays.

Returns:

dict. kind / n / min / max / mean / rms /

p05 / p50 / p95, and for pairs gauss_mean (mean of K = k1*k2) and

mean_curvature_mean (mean of (k1+k2)/2).

Raises:

ValueError: invalid shape / non-finite.

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).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.