Sinusoidal fringe-pattern projection for 3-D surface measurement with variable illuminance
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Bibliographic record
Abstract
This paper presents a method of projecting sinusoidal fringe patterns with modified maximum gray level to accommodate variable ambient illuminance that would otherwise cause intensity saturation and measurement error in phase-shifting surface-shape measurement. The maximum input gray level (MIGL) in the projected patterns can be reduced to an optimal trade-off point, below which the image intensity signal-to-noise ratio would diminish the advantage of further MIGL reduction. Measurement simulations using ten MIGLs (75 to 255) demonstrated reduction in RMS errors for ambient illuminance of 600, 700, 800 and 900 lx, from 0.31, 0.45, 0.75 and 1.21 mm, respectively, to 0.2 mm. The advantage of the approach was confirmed in real measurements of a flat plate and human mask.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it