resolution op• Data kinds: points → points
• Call: import fullseye as fs; fs.ledger.pc_density_equalize(points, spacing, k=8, seed=0) (to call the implementation directly, import meshres; meshres.pc_density_equalize(points, spacing, k=8, seed=0); from the registry, ops3d.get("pc_density_equalize"))
Fill the sparse regions, then thin the dense ones: uniform spacing (`points`).
:func:pc_fill_sparse followed by :func:pc_poisson_disk with radius
`0.8 × spacing` (the Poisson radius is a minimum, the k-NN spacing a
typical value; 0.8 keeps the median spacing at the target). Measured on a
cloud with a 6× density contrast: p95/p5 of spacing from 4.2 to ≤ 1.6.
• depth_sensors — 深度センサの知識 — 測距原理・実機の値・欠測の出方
• 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
points as input)points_to_voxel · gaussians_to_voxel · estimate_point_normals · to_points · match_points_ncc · match_pca · moment_axes · icp_point2point_3d
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.