reconstruct — SHAPE2D descriptor op

• Data kinds: efdmodel → pairs

• Call: import fourierdesc; fourierdesc.reconstruct(model, n_points=300, n_harmonics=None) (or opsshape2d.get("reconstruct"))

Usage

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

EFD 係数から輪郭を再構成する((M,2))。

n_harmonics を係数数より小さくすると 高調波を打ち切って平滑化 される

(低次だけ残すほど丸くなる)。

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 pairs as input)

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

Same category (descriptor)

elliptic_fourier · invariants · normalize · descriptor_distance · 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).*

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