tb_three_frame_difference — 2D `typed` op

• Data kinds: video → video

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

*No figure: this op takes video as input. A Studio program starting from an image cannot reach that type — see the runnable examples below for how it is used.*

Usage

Collins three-frame-difference motion mask per frame → 0/1 `(T, H, W) (video`).

`(|f_t−f_{t−1}|>T) AND (|f_{t−1}−f_{t−2}|>T)`; zeros for the first two

frames. Ghost-free compared with :func:frame_difference_causal.

Typed bridge of the videostream op `three_frame_difference into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. a drives threshold (default 0.1); b` is 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 `video` as input)

identity · tb_temporal_bandpass · tb_temporal_band_power · tb_temporal_median_window · tb_moving_average_window · tb_background_subtraction_window · tb_frame_difference_causal · tb_exponential_background

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).*

tb_three_frame_difference — 2D typed op