Real Time Animation and Illumination in Ancient Roman Sites.
Bibliographic record
Abstract
The present article discusses and details the methodological approaches and the reconstruction strategies that have been employed to realize the 3D real-time virtual simulations of the populated ancient sites of Aspendos and Pompeii, respectively visualized using a virtual and an augmented reality setup. More specifically, the two case studies to which we refer concern the VR restitution of the Roman theatre of Aspendos in Turkey, visualized as it was in the 3rd century, and the on-site AR simulation of a digitally restored Thermopolium situated at the archeological site of Pompeii in Italy. In order to enhance both simulated 3D environments, either case study presents the inclusion of real time animated virtual humans, which are re-enacting situations and activities that were typically performed in such sites during ancient times. Furthermore, the implemented modeling and real time illumination strategies of both the textured static 3D models of the sites and the simulated dynamic virtual humans are equally presented and compared. Keywords—Cultural Heritage, Illumination models, Mixed Reality, Real time Animation, Virtual Humans, Virtual Reality
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.030 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".