pc_fill_sparse — 3D resolution op

数据种类:pointspoints

调用: import fullseye as fs; fs.ledger.pc_fill_sparse(points, spacing, k=8)(要直接调用实现,import meshres; meshres.pc_fill_sparse(points, spacing, k=8);从台账取用则 ops3d.get("pc_fill_sparse"))

用法

在局部间距超过 *spacing* 处、于局部 PCA 平面上插入点(`points`)。

> 以下的详细说明为原文 —— 摘要与标题已翻译。

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).

背景知识指南(该算子背后的物理与约定)

depth_sensors — 深度センサの知識 — 測距原理・実機の値・欠測の出方

参考(示例数据・文献)

• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。

• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。

可运行的示例(实际调用该算子并已验证的样例)

mesh_resolution_demopy -3.11 examples_3d/mesh_resolution_demo.py

类型可衔接的下一个算子(可接受 points 作为输入)

points_to_voxel · gaussians_to_voxel · estimate_point_normals · to_points · match_points_ncc · match_pca · moment_axes · icp_point2point_3d

同类别(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 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.