Alineación Virtual De Modelos Deformables Usando Funciones De Base Radial
Bibliographic record
Abstract
Uno de los esquemas mas ampliamente usados en la industria de produccion de partes para realizar el control de calidad de las piezas producidas, consiste en hacer una comparacion de dichas piezas contra un prototipo ideal denominado modelo CAD de la pieza. Para realizar tal comparacion se adquieren datos experimentales de la superficie de la pieza y se realiza una alineacion rigida entre estos y el modelo CAD de la pieza. Aunque para los sistemas actuales las piezas a revisar se consideran rigidas, existen numerosas piezas para las cuales este proceso de alineacion no es suficiente ya que la forma de tales piezas cambia en el momento de ser ensambladas. En este articulo se presenta un nuevo metodo de alineacion no rigida basado en el uso de las funciones de base radial que permite mejorar el proceso de inspeccion de piezas deformables basado en modelos CAD. Se presentan resultados de la aplicacion del metodo sobre varios modelos deformables.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".