depth op• Datenarten: lightfield → image2d
• Aufruf: import fullseye as fs; fs.ledger.lf_epi_slope(lf, *, window=9, min_energy=1e-10) (die Implementierung direkt: import lightfield; lightfield.lf_epi_slope(lf, *, window=9, min_energy=1e-10); aus dem Register: opslightfield.get("lf_epi_slope"))
• Rückgabewert über das Register: fullseye.ledger.lf_epi_slope(...) liefert nur den Wert des deklarierten Out-Typs image2d (die zugrunde liegende Funktion gibt zusätzlich Hilfsinformationen zurück). Wird das Verworfene gebraucht, nutze fullseye.ledger.lf_epi_slope.raw(...) oder rufe lightfield.lf_epi_slope direkt auf.
Steigung pro Pixel aus der Orientierung der EPI-Linien (Strukturtensor, ein Durchlauf).
> Die ausführliche Beschreibung unten ist der Originaltext — Zusammenfassung und Überschriften sind übersetzt.
A scene point traces a straight line in the epipolar-plane image (lf_epi), so along that line the intensity is constant:
E_u + s * E_x = 0. Accumulating that constraint over the whole angular grid and a window x window spatial neighbourhood gives the closed-form least-squares slope s = -(J_ux + J_vy) / (J_xx + J_yy) with J_ab = sum(E_a * E_b) — one pass over the light field, no sweep, both the horizontal and vertical EPI directions pooled.
This estimator is biased, and the bias is the reason to also run lf_depth_from_focus. It is ordinary (not total) least squares on finite differences, so it needs the EPI line to advance less than roughly one texture correlation length per view. Measured 2026-09-01 on 5x5x64x64 synthetic fields, median over the interior: with texture sigma = 1.5 px, true +1.00 -> +1.0004, +0.50 -> +0.5285, +1.50 -> +1.3018, +2.00 -> +1.4614; with sigma = 5.0 px the same slopes give +1.0003, +0.5029, +1.4827, +1.9482. Integer slopes on a wrapped field come back within 4e-4 and s = 0 is exact; |s| > 1 is under-estimated, by 27% at s = 2 on the roughest texture. Use it as a fast dense initialiser, not as the final word.
Returns (slope_map, energy): the (H, W) slope map and the (H, W) gradient energy J_xx + J_yy that was the denominator. Pixels whose energy is below *min_energy* have no measurable parallax (a flat patch of sky); their slope is set to 0 and their energy reported as-is, so you threshold on energy instead of being handed a plausible-looking number divided by ~0.
Raises ValueError: *lf* not a valid light field, an angular/spatial shape where *neither* EPI direction carries information (the horizontal EPI needs U >= 2 and W >= 2, the vertical needs V >= 2 and H >= 2), an even or non-positive *window*, a non-positive *min_energy*.
• Leitfaden zur Familie lightfield_depth
• Katalog der Beispieldaten (Download-URLs / Lizenzen) — 2-D nutzt skimage.data (BSD/Public Domain) plus synthetische Bilder, 3-D nennt Download-URLs echter Datenquellen (Stanford, PDS, …).
• Herkunft und Literatur der Operatoren — die Quellen der Forschung/Verfahren, auf denen diese Operatorfamilie beruht.
• Der kanonische Algorithmus (Autor, Jahr) und seine Anwendungen stehen im Familienleitfaden oben.
• lightfield_depth — py -3.11 examples/lightfield_depth.py
• poc_lightfield_depth — py -3.11 examples/poc_lightfield_depth.py
image2d als Eingabe)lf_from_mla · lf_disparity_to_depth · lf_all_in_focus
depth)lf_depth_from_focus · lf_disparity_to_depth · lf_all_in_focus · lf_plenoptic_design
*Provenance: lightfield.py — LIGHTFIELD Operator-Registry. Diese Notiz wird von tools/opdocs.py md erzeugt (nicht von Hand bearbeiten).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.