typed op• Data kinds: points → points
• Call: fullseye.apply(img, "tb_pc_fill_sparse", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
Insert points where the local spacing exceeds *spacing*, on the local PCA plane (`points`).
For every point whose distance to its *k*-th neighbour exceeds *spacing*,
the segments to those neighbours longer than *spacing* are subdivided at
*spacing* intervals; the new points are projected onto the plane fitted
(PCA) to the point's neighbourhood so they follow the surface rather than
cut chords across it. The original points are kept; the result is then a
cloud whose spacing is ≤ target almost everywhere (pass it to
:func:pc_poisson_disk to remove the duplicates a shared edge creates —
:func:pc_density_equalize does both).
Typed bridge of the 3d op `pc_fill_sparse into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. a drives k (default 8); b` is 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.
• (none yet)
points as input)identity · 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
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).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.