tb_iss_keypoints — 2D `typed` op

• Data kinds: points → signal

• Call: fullseye.apply(img, "tb_iss_keypoints", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

Usage

> This operator's description has not been translated yet. The original text follows as it is.

ISS(Intrinsic Shape Signatures、3D Harris 相当)キーポイント検出。

局所共分散の最小固有値 λ3 を saliency とし、固有値が distinct(向きが

well-defined)な点のみ候補にして NMS で疎に選ぶ。回転不変。返り値=点 index 配列。

2-D 進化レジストリへ橋渡しした 3d の op `iss_keypoints。実装は同じで、呼び出し規約だけ op(v, a, b) に合わせてある。a が gamma21(既定 0.99)、b が gamma32`(既定 0.99)を振る。

References (sample data, literature)

• 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.

Runnable examples (verified samples that actually call this op)

• (none yet)

Ops the type connects to (they accept `signal` as input)

identity · tb_create_funct_1d_array · tb_smooth_funct_1d_gauss · tb_smooth_funct_1d_mean · tb_derivate_funct_1d · tb_integrate_funct_1d · tb_zero_crossings_funct_1d · tb_abs_funct_1d

Same category (`typed`)

tb_points_to_voxel · tb_estimate_point_normals · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal · tb_voxel_grid_downsample

*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

tb_iss_keypoints — 2D typed op