Digitizing the Wooden Scale Model of a Twentieth Century Urban Utopia for the Development of a Full-Scale Virtual Tour Application Using a Game Engine
Bibliographic record
Abstract
Abstract. We created a virtual tour application using photogrammetry, GIS data, and a game engine to allow a greater audience to discover in an immersive way the wooden scale model (scale 1:1000) of a Utopian version of the city of Rimouski imagined by the architect Luc Laporte. In this paper, we show how we determined, based on the quality requirements for video game assets (texel density), what are the conditions to be met during photogrammetry survey (GSD) of such a scale model intended to a virtual tour application. We explain how creating a 3D version of Laporte’s wooden model is a problem very similar to air-based photogrammetry of urban spaces but, contrary to typical aerial photogrammetry where the distance d is much greater than the focal length f, we are strongly limited by the depth of field as, for the scale model, the distance is only somewhat greater than the focal length, yielding a reduced depth of field.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.005 | 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 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".