lf_refocus — LIGHTFIELD refocus op

• データ種: lightfield → image2d

• 呼び出し: import fullseye as fs; fs.ledger.lf_refocus(lf, slope=0.0, *, interp='linear', edge='nearest') (実装を直接呼ぶなら import lightfield; lightfield.lf_refocus(lf, slope=0.0, *, interp='linear', edge='nearest')、台帳から引くなら opslightfield.get("lf_refocus"))

使い方

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* (MAX_ABS_SLOPE), unknown *interp* / *edge*.

詳しい使い方ガイド

• lightfield_depth ファミリ ガイド

参考(サンプルデータ・文献)

• 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。

• アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。

実行できる例(この op を実際に呼ぶ検証済みサンプル)

• lightfield_depth — py -3.11 examples/lightfield_depth.py

• poc_lightfield_depth — py -3.11 examples/poc_lightfield_depth.py

型が繋がる次の op(image2d を入力に取れる)

lf_from_mla · lf_disparity_to_depth · lf_all_in_focus

同カテゴリ(refocus)

lf_focal_stack · lf_aperture_mask · lf_synthetic_aperture


*Provenance: lightfield.py — LIGHTFIELD 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.