procrustes_distance — SHAPESTAT procrustes op

• Data kinds: points × points → measurement

• Call: import fullseye as fs; fs.ledger.procrustes_distance(source, target, scaling: 'bool' = True, reflection: 'bool' = False, normalize: 'bool' = True) (to call the implementation directly, import shapestats; shapestats.procrustes_distance(source, target, scaling: 'bool' = True, reflection: 'bool' = False, normalize: 'bool' = True); from the registry, opsshapestat.get("procrustes_distance"))

Usage

Procrustes distance = per-point RMS after superimposition. → float.

normalize=True (default) gives a dimensionless value divided by the RMS centroid distance of *target*. Use this to compare shapes regardless of size. If you need the raw distance, False.

Detailed usage guide

• shape_statistics family guide

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.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• shapestat_landmark_tour — py -3.11 examples/shapestat_landmark_tour.py

Ops the type connects to (they accept measurement as input)

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Same category (procrustes)

procrustes_fit · procrustes_align · generalized_procrustes · shape_mean

*Provenance: shapestats.py — SHAPESTAT 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.