resolution op• Data kinds: points → table
• Call: import fullseye as fs; fs.ledger.pc_lod_chain(points, spacing, levels=3, seed=0) (to call the implementation directly, import meshres; meshres.pc_lod_chain(points, spacing, levels=3, seed=0); from the registry, ops3d.get("pc_lod_chain"))
Poisson-disk levels at doubling spacings (table).
Level 0 is the input; level *k* keeps no two points closer than spacing × 2^(k−1). Returns levels (list of clouds), spacings, counts.
Procedure: level 0 = the input point cloud (a validated float64 copy). Level k (1..levels) is the immediately preceding level with pc_poisson_disk(prev, spacing * 2**(k-1), seed=seed + k - 1) applied (thinning is cumulative, so the points of a coarse level are always contained in the finer levels too = nested). Points are not moved (no centroid shift like grid averaging).
Arguments: points (N, 3) (finite, at most MAX_POINTS), spacing > 0 (the minimum point-to-point distance of level 1, in the same unit as the coordinates), levels an integer 1..16, seed the random seed for the Poisson-disk visiting order (deterministic if fixed).
Return value (dict): levels (a list of levels + 1 arrays of shape (n_k, 3)), spacings ([0.0, spacing, 2*spacing, ...]; 0 for level 0), counts (number of points per level), n_levels (levels + 1).
Validation (ValueError): bad shape, non-finite or too many points / spacing non-positive / levels not an integer or out of range.
Note: the point count of each level drops by a factor of 4 (to 1/4), as a rule of thumb ~ area / spacing_k^2, but sparse regions (where the original point spacing is larger than spacing_k) are not thinned and remain. Count what was dropped with pc_thinning_report(points, levels[k]). For mesh LOD, see mesh_lod_chain.
• depth_sensors — Depth sensors — ranging principles, real-device figures, how dropouts appear
• 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.
• mesh_resolution_demo — py -3.11 examples_3d/mesh_resolution_demo.py
table as input)fuse_to_voxel · mesh_select_lod
resolution)mesh_edge_stats · mesh_detail_map · mesh_split_long_edges · mesh_isotropic_remesh · mesh_sample_points · mesh_lod_chain · mesh_select_lod · mesh_reduction_report
*Provenance: meshres.py — 3D 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.