High-resolution insets in projector-based stereoscopic displays: principles and techniques
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We propose a dual-resolution foveated stereoscopic display built from commodity projectors and computers. The technique is aimed at improving the visibility of fine details of 3D models in computer-generated imagery: it projects a high-resolution stereoscopic inset (or fovea, by analogy with biological vision) that is registered in image space with the overall stereoscopic display. A specific issue that must be addressed is the perceptual conflict between the apparent depth of the natural boundary of the projected inset (visible due to changes in color, brightness, and resolution) and that of the underlying scene being displayed. We solve this problem by assigning points to be displayed in either the low resolution display or the inset in a perceptually consistent manner. The computations are performed as a post-processing, are independent of the complexity of the model, and are guaranteed to yield a correct stereoscopic view. The system can accommodate approximately aligned projectors, through image warping applied as part of the rendering pipeline. The method for boundary adjustment is discussed along with implementation details and applications of the technique for the visualization of highly detailed 3-D models of environments and sites.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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