descriptor_distance — SHAPE2D `descriptor` op

• Data kinds: efdmodel × efdmodel → measurement

• Call: import fourierdesc; fourierdesc.descriptor_distance(m1, m2, n_harmonics=None, scale_invariant=True) (or opsshape2d.get("descriptor_distance"))

Usage

> This operator's description has not been translated yet. The original text follows as it is.

2 つの形状間の距離(小さいほど似た形)。回転/平行移動/始点/(任意で)スケール不変。

各高調波の楕円 (長軸, 短軸) 特異値不変量(:func:invariants)の L2 距離。

m1, m2 は :func:elliptic_fourier の出力 dict。

Detailed usage guide

• shape_description_2d family guide

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)

• contour_fourier — py -3.11 examples/contour_fourier.py

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

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Same category (`descriptor`)

elliptic_fourier · reconstruct · invariants · normalize · fourier_smooth · from_xld

*Provenance: fourierdesc.py — SHAPE2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

descriptor_distance — SHAPE2D descriptor op