Adaptive fitting with THB-splines: Error analysis and industrial applications
| Autor: | David Großmann, Alessandra Sestini, Cesare Bracco, Carlotta Giannelli |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Scheme (programming language)
Reverse engineering Calibration (statistics) Aerospace Engineering 020207 software engineering 010103 numerical & computational mathematics 02 engineering and technology computer.software_genre 01 natural sciences Computer Graphics and Computer-Aided Design Distribution (mathematics) Error analysis Modeling and Simulation Data approximation Automotive Engineering Fully automatic 0202 electrical engineering electronic engineering information engineering 0101 mathematics Geometric modeling Algorithm computer Mathematics computer.programming_language |
| Zdroj: | Computer Aided Geometric Design. 62:239-252 |
| ISSN: | 0167-8396 |
| DOI: | 10.1016/j.cagd.2018.03.026 |
| Popis: | Automatic fitting techniques are required in many industrial applications, as for example, instrument calibration, data analysis, geometric modeling or reverse engineering. We present an error analysis of advanced techniques for scattered data approximation based on truncated hierarchical B-spline (THB-spline) constructions. The adaptive fitting framework is validated on data of industrial complexity related to geometric models of different aircraft engine parts. We demonstrate that the twofold adaptive nature of the method, which takes into account both the shape and the distribution of the data, is crucial to define an effective fully automatic scheme with suitable local refinement capabilities. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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