tb_box_sdf — 2D `typed` op

• Data kinds: points → volume

• Call: fullseye.apply(img, "tb_box_sdf", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

*No figure: this op takes points as input. A Studio program starting from an image cannot reach that type — see the runnable examples below for how it is used.*

Usage

Exact signed distance field of an axis-aligned box (negative inside, positive outside).

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

Inigo Quilez の box SDF: `q = |p-center| - half_extents` とし、

`outside = |max(q,0)|` (角/辺/面の外はユークリッド距離),

`inside = min(max(q_x,q_y,q_z), 0)` (内側は最近面までの負値),

`sdf = outside + inside`。

`half_extents` は各軸の半辺長(中心から面まで)。外側は厳密距離(角では対角、面前は

垂直距離)、内側も最近面までの厳密負距離を与える。

Raises ValueError for any half_extent<0 or malformed grid/center/half_extents。

2-D 進化レジストリへ橋渡しした 3d の op `box_sdf。実装は同じで、呼び出し規約だけ op(v, a, b) に合わせてある。この op に調整点は無く、a も b` も使われない。

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.

Runnable examples (verified samples that actually call this op)

• (none yet)

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

identity · vol_gaussian · vol_median · vol_erode · vol_dilate · vol_threshold · vol_reg_dilate · vol_reg_erode

Same category (`typed`)

tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal

*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

tb_box_sdf — 2D typed op