Dynamic three-dimensional imaging with cubic-meter-level measurement volume using multi-scale band-limited illumination profilometry
Bibliographic record
Abstract
Dynamic three-dimensional (3D) surface imaging using phase-shifting fringe projection profilometry is currently driven by industrial manufacturing, archaeological inspection, and entertainment. However, existing techniques cannot simultaneously provide the robustness in solving spatially isolated 3D objects, the tolerance of large variation in surface reflectance, and the flexibility of tunable working distances with a cubic meter (m<sup>3</sup>)-level measurement volume at video rate. To overcome these limitations, we have developed multi-scale band-limited illumination profilometry (MS-BLIP). MS-BLIP implements multi-frequency fringe projection with the associated phase unwrapping, which enables robust 3D imaging of spatially isolated objects. Meanwhile, MS-BLIP adopts dual-level intensity projection to enhance its dynamic range, which allows recovering 3D information from surfaces with large reflectance variation. Moreover, MS-BLIP applies a newly developed iterative method for distortion compensation, which improves the 3D reconstruction quality over a cubic-meter-level measurement volume. Finally, a dove prism is used to adjust the orientation of the field of view, which helps MS-BLIP fit different experimental scenarios. With a measurement volume of up to 1.5 m<sup>3</sup> and a working distance of up to 2.8 m, MS-BLIP showcases the video-rate 3D surface imaging of full human-body movements.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".