Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Komar, Alexander | |
dc.contributor.author | Riegler, Marco | |
dc.contributor.author | Preiner, Reinhold | |
dc.contributor.author | Augsdoerfer, Ursula | |
dc.contributor.editor | Skala, Václav | |
dc.date.accessioned | 2024-07-31T18:30:54Z | - |
dc.date.available | 2024-07-31T18:30:54Z | - |
dc.date.issued | 2024 | |
dc.identifier.citation | WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 315-324. | en |
dc.identifier.issn | 2464–4625 (online) | |
dc.identifier.issn | 2464–4617 (print) | |
dc.identifier.uri | http://hdl.handle.net/11025/57405 | |
dc.format | 10 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | en |
dc.rights | © Václav Skala - UNION Agency | en |
dc.subject | genetický algoritmus | cs |
dc.subject | rekonstrukce křivky | cs |
dc.subject | rekonstrukce povrchu | cs |
dc.subject | kód tvaru | cs |
dc.subject | procedurální modelování | cs |
dc.title | Genetic Subdivision Curve and Surface Reconstruction | en |
dc.type | konferenční příspěvek | cs |
dc.type | conferenceObject | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.description.abstract-translated | In this paper we employ a new genetic algorithm approach for CAD shape reconstruction, where a mathematical shape representation is reconstructed from point data. We reconstruct planar subdivision curves and 3D subdivision meshes from ordered input point data by fitting the corresponding subdivision control polygon or control mesh respectively, from which the smooth subdivision limit surfaces can be derived. For the reconstruction of curves the system estimates the number and position of control points required to approximate the curve closely. To reconstruct subdivision surfaces from points, the system determines a sequence of CAD operations which is subject to mutation in the course of a genetic optimization. We discuss implementation details of the proposed genetic algorithms and demonstrate our approach on a number of example data | en |
dc.subject.translated | genetic algorithm | en |
dc.subject.translated | curve reconstruction | en |
dc.subject.translated | surface reconstruction | en |
dc.subject.translated | shape code | en |
dc.subject.translated | procedural modelling | en |
dc.identifier.doi | https://doi.org/10.24132/10.24132/CSRN.3401.34 | |
dc.type.status | Peer reviewed | en |
Vyskytuje se v kolekcích: | WSCG 2024: Full Papers Proceedings |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
---|---|---|---|---|
D11-2024.pdf | Plný text | 2,51 MB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/57405
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