typed op• データ種: lightfield → image
• 呼び出し: fullseye.apply(img, "tb_lf_refocus", a=0.5, b=0.5) (2-D は 1 画像 + 2 スカラつまみ a,b∈[0,1] のモデル)
*図なし: この op は lightfield を入力に取る。画像から始まる Studio のプログラムでは型が届かないので、下の「実行できる例」で使い方を見ること。*
Shift-and-add refocus: the synthetic-aperture image focused at *slope*.
Every view `(v, u) is shifted by (-s*(v - v_c), -s*(u - u_c))` — the
minus undoes the parallax of a point at slope `s` — and the shifted
views are averaged. Points at that slope add coherently and stay sharp;
everything else is smeared by an amount proportional to its slope
difference times the angular baseline. `slope=0` is the plane the array
was already focused on and returns the plain average of the views.
Ground truth it reproduces exactly (pinned in `tests/test_lightfield.py`):
a single-layer field synthesised at slope `s0 and refocused at s0`
with `edge="wrap" and an integer s0` returns the original texture to
5.6e-16; sweeping the slope, the variance of the result peaks at `s0`
(measured exactly on the sweep grid in all 18 texture/slope combinations
listed in the module docstring), and refocusing at `-s0` does *not* —
which is the check that catches a flipped shift sign.
Returns a `(H, W)` 2-D image.
Raises `ValueError`: *lf* not a valid light field, a non-finite or
over-large *slope* (:data:MAX_ABS_SLOPE), unknown *interp* / *edge*.
Typed bridge of the lightfield op `lf_refocus into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. This op has no tunable parameter; a and b` are unused.
• サンプルデータ カタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。
• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。
• (まだありません)
image を入力に取れる)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
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. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.