Projector-based augmented reality in surgery without calibration
Why this work is in the frame
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Bibliographic record
Abstract
Augmented reality (AR) is becoming an important tool in surgery to support the surgeon and improve operation quality, safety and duration. However the AR setup with head-mounted display (HMD) and other equipments is often considered cumbersome by surgeons and limits its wide use in the operating room. To reduce this burden, we introduce a new approach to display undistorted image data directly on the patient (skin, bone, surgery linen etc.) without explicit camera and projector calibration. With a single camera used to capture the surgeon's field of view, the calibration is implicitly represented as a mapping establishing the correspondence of each pixel of a camera to a pixel from a projector. After this mapping has been carried out, one can display an image corrected for the surgeon. Results are presented showing the simplicity and potential of the method for an operating room.
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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 | 0.001 |
| Science and technology studies | 0.000 | 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