from_xld — SHAPE2D descriptor op

• Data kinds: table → pairs

• Call: import fourierdesc; fourierdesc.from_xld(contour, i=0) (or opsshape2d.get("from_xld"))

Usage

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

XLD 輪郭 dict(`{"shape", "cs":[Nx2,...]}`)から i 番目の輪郭を取り出す。

返るのは XLD と同じ (row, col) 順の (N,2)。`imagemorph` へ渡すときは

`[:, ::-1]` で (x, y) に入れ替えること(モジュール冒頭の「座標順の落とし穴」)。

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)

• (none yet)

Ops the type connects to (they accept pairs as input)

elliptic_fourier · fourier_smooth · add_frame_corners · warp_tps_image · warp_piecewise_affine · morph · morph_sequence

Same category (descriptor)

elliptic_fourier · reconstruct · invariants · normalize · descriptor_distance · fourier_smooth

*Provenance: fourierdesc.py — SHAPE2D 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.