dtourolle
889018aa34
Sharpness is not a sufficient statistic for identity loss. Six cells at effectively identical measured sharpness span 15.3% to 91.0% TPI, ordered entirely by source size, because a scalar keyed on high-frequency energy cannot separate attenuated high frequencies from destroyed spatial sampling. AR-028's "kept separate, not collapsed into one scalar" now rests on a measurement rather than an argument -- and the reasoning it used to rest on, that the aligned crop is scale-normalised so a measure there cannot re-measure size, was wrong and is corrected in place. Variance of Laplacian -- the most widely used blur metric there is -- is anti-predictive at fixed degradation on all three blur families. The decile it calls sharpest is 2.6x less identifiable than the decile it calls blurriest, monotone across ten bins, because within a cell its residual variance is native contrast rather than detail, and hard shadows and JPEG ringing raise it while making a face harder to match. Gating on it would preferentially discard the more identifiable faces. Blur breaks confidence, not identity: rank-1 holds at 80.2% where TPI is 15.3%, and FPI never left 0.1% in any of the 108 cells. Degradation produces abstention, never a wrong name. That is also why sharpness fails as a compute gate -- even a visually destroyed face stays 46.9% identifiable, so a gate discards recoverable evidence at three times the cost of the free size filter. Discount, do not gate; the rule AR-028 already stated now has evidence for why it is right rather than merely cautious. Records the shape a discount must have (flat, then a cliff between sigma 2 and 3), that its cost scales with proximity to the decision boundary rather than with blur, and that the pose half of VR-012 has not been run. TRACES: VR-012, AR-028, AR-029, AR-030 | SR-002
68 lines
1.9 KiB
YAML
68 lines
1.9 KiB
YAML
site_name: scene-actor-extraction
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site_url: https://pages.tourolle.paris/dtourolle/scene-actor-extraction/
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site_description: Face-recognition pipeline for finding on-screen actor presence in film/TV, built on KPN++
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repo_url: https://gitea.tourolle.paris/dtourolle/scene-actor-extraction
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repo_name: dtourolle/scene-actor-extraction
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nav:
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- Home: index.md
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- How We Score Against X-Ray: methodology.md
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- Findings:
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- Best Model: best-model.md
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- Gallery Scope (Full vs. Limited): gallery-scope.md
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- Pose Expansion: pose-expansion.md
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- Quality Knee (Blur and Size): quality-knee.md
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- LVFace Deep Dive: lvface-deep-dive.md
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- Full Experiment Log: model-bakeoff.md
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- Service Conversion (proposal): service-conversion.md
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