tb_pc_fill_sparse — 2D typed op

• 数据种类:points → points

• 调用:fullseye.apply(img, "tb_pc_fill_sparse", a=0.5, b=0.5)(2-D 的模型是一张图 + 两个标量旋钮 a,b∈[0,1])

*无图: 该算子以 points 为输入。从图像开始的 Studio 程序无法到达该类型，请参见下方的可运行示例。*

用法

在局部间距超过 *spacing* 的地方,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).

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.

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)

• (暂无)

类型可衔接的下一个算子(可接受 points 作为输入)

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

同类别(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 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.