gen_nurbs_interp — MV `curve` op

• Data kinds: keypoints → table

• Call: import fullseye as fs; fs.ledger.gen_nurbs_interp(points, degree=3) (to call the implementation directly, import mvtext; mvtext.gen_nurbs_interp(points, degree=3); from the registry, opsmv.get("gen_nurbs_interp"))

• HALCON equivalent: gen_nurbs_interp (the HALCON reference is a useful guide to its meaning and parameters)

• GPU: none (CPU reference implementation only)

Usage

Find the control points of a non-rational B-spline through every point (global interpolation).

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

媒介変数は弦長、節点は媒介変数の平均(The NURBS Book の 9.2.1)で決め、基底の線形方程式を解く。重みは全部 1 なので、返りをそのまま nurbs_curve に渡せる(knots と degree も一緒に渡す)。連続する同じ点は ValueError(弦長が 0 になり媒介変数が決まらない)。空の入力(points が 0 要素)は ValueError。

Args:

points: (N, d) の点列(N > degree)。

degree: 次数(>= 1)。

Returns:

control_points (N, d)、knots (N+degree+1,)、weights、degree、u を持つ dict。

Detailed usage guide

• machine_vision_classics 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)

• machine_vision_tour — py -3.11 examples/machine_vision_tour.py

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

map_image · rectify_to_world_plane · change_radial_distortion_image · find_ncc_models · run_bg_esti · give_bg_esti · update_bg_esti · classify_class_gmm

Same category (`curve`)

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

gen_nurbs_interp — MV curve op