tb_temporal_band_power — 2D typed op

Data kinds: videoimage

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

Usage

Per-pixel mean-square power inside a temporal band -> `(H, W)` map.

"Where in the frame is something moving at this frequency?" — a resonance

map. The value at a pixel is the mean over time of the squared band-passed

signal, so a pure sinusoid of amplitude `a` inside the band reads exactly

`a^2/2 (Parseval; measured relative error 3.08e-16 for a = 0.3`).

This is an *analysis map*, not a displayable image: it is a power and is not

bounded by 1. Pixels with no in-band content read 0.

Typed bridge of the motionmag op `temporal_band_power into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. This op has no tunable parameter; a and b` are unused.

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 image as input)

identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter

Same category (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 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.