Multispectral Stereoscopic Imaging Device: Simultaneous Multiview Imaging From the Visible to the Near-Infrared
Why this work is in the frame
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Bibliographic record
Abstract
We have designed a hand-held imaging device which is capable of capturing images of multiple spectral bands, spanning the visible to the near-infrared, as well as imaging multiple perspective views of an object simultaneously on one detector. This concept utilizes a set of mirrors positioned obliquely to the principle axis of the imaging device that present different perspective views, of a target, and simultaneously bandpass filters those views before the light enters the device. In its current state, our instrument is capable of simultaneously imaging nine independent spectral bands and three different perspective views. The device allows for measurement of multispectral properties of different material enabling multispectroscopic science as demonstrated by studying the separability of four types of black ink. Exploiting the stereoscopic imaging capability of the device, we are able to construct 3-D surface features of a target.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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