<title>Image-based view synthesis for enhanced perception in teleoperation</title>
Bibliographic record
Abstract
The teleoperation of equipment under impoverished sensing and communication delays, cannot be handled efficiently by conventional remote control techniques. Our approach to this problem is based on an augmented reality control mode in which a graphical model of the equipment is overlaid upon real views from the work-site. A basic capability required in order to produce such an augmented reality mode is the ability to synthesize visual information from new viewpoints based upon existing ones, so as to compensate for the sparsity of real data. Our approach to the problem of image-based view synthesis is based upon the implicit construction of a 3D approximation of the scene, composed of planar triangular patches. New views are then generated by texture-mapping the available real image data onto the reprojected triangles. In order to generate a physically valid joint-triangulation which minimizes the distortions in the rendering of the new view, an iterative approach is utilized. This approach begins with an initial triangulation and refines it iteratively through node-linking alterations and a split and merge process, based upon correlation values between corresponding triangular patches. The paper presents results for both synthetic and real scenes.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".