typed op• Data kinds: lightfield → image
• Call: fullseye.apply(img, "tb_lf_refocus", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
*The figure is the actual output on a synthetic 128×128 input. Left: input, right: output. Point clouds are drawn as a top-down scatter (brightness = z), 1-D series as a line plot, volumes as the maximum-intensity projection along z, videos as the middle frame, complex images as magnitude; return values that are not pictures are shown as the values themselves.*
*Knob a does not change the output (measured: identical at 0.1 / 0.5 / 0.9).*
*Knob b does not change the output (measured: identical at 0.1 / 0.5 / 0.9).*
Stages (the ops that come before → this op, left to right):
▸ tb_lf_refocus: stages (docs site)
On other images (synthetic scene / photo / coins. Top row: inputs, bottom row: their outputs. Knobs at default):
▸ tb_lf_refocus: other inputs (docs site)
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.
• 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 program below has been verified to run (same input as the figure). In Studio's help this block becomes buttons that load and run it on the spot.
img_to_lightfield 0.50 0.50 tb_lf_refocus 0.50 0.50
▸ Load this pipeline · Load & run
The examples below call the underlying ledger op lf_refocus. This bridge op is the same implementation adapted to the fn(v, a, b) convention, so the behaviour carries over unchanged (only the call form differs).
• lightfield_depth — py -3.11 examples/lightfield_depth.py
• poc_lightfield_depth — py -3.11 examples/poc_lightfield_depth.py
image as input)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
typed)tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal · tb_voxel_grid_downsample
*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.