La evolución del MOCAP en el cine de James Cameron: El arte de la captación de movimiento.
Bibliographic record
Abstract
La temática de este trabajo de fin de grado es el análisis de la evolución del motion capture a lo largo de la producción cinematográfica del director y guionista canadiense, James Cameron. Se presentarán sus aportaciones más valiosas a la industria a través de algunas de sus producciones más significativas, haciendo especial hincapié en las dos entregas de la franquicia Avatar y como estas representan el culmen de todos los estudios y experimentos realizados durante toda la trayectoria del director.<br />The aim of this work is analysing the evolution of motion capture throughout the film production of the Canadian director and screenwriter James Cameron. It will also present his most valuable contributions to the industry through some of his most significant productions, with special emphasis on the two instalments of the Avatar franchise and how these represent the culmination of all the studies and experiments carried out throughout the director's career.<br /><br />
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| 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".