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Simplified Definition of Parameter Spaces of a Procedural Model using Sketch-based Interaction

Fellner, Dieter W. ; Kuijper, Arjan ; Getto, Roman ; Merz, Johannes (2018)
Simplified Definition of Parameter Spaces of a Procedural Model using Sketch-based Interaction.
International Conference on Computer Graphics Theory and Applications (GRAPP). Funchal, Madeira, Portugal (27.01.2018-29.01.2018)
doi: 10.5220/0006613002230231
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

This paper presents a novel technique to intuitively insert meta-parameters into a procedural model with the help of sketch-based interaction. The procedural model is represented in a GML (Generative Modeling Language) representation, which is a script language that focuses on the description of three-dimensional models. A GML model consists of a sequence of procedural modeling commands, for example extrusions. These are called with a set of local offset positions, which can be converted to global space and anchored in the surface mesh by finding reference vertices on the mesh. The system uses a deformation technique to deform the surface of the model. During the deformation, the reference vertices provide the global offset positions, whose path can be approximated by a B-spline. Exchanging the initial values of the commands by this B-spline, defines a continuous parameter space of the meta-parameter. The deformation process is supported by a mesh segmentation to create pre-defined deformation targets. Using sketch-based methods, these can be adapted to the user's needs. The results show that the system closely imitates the deformation with the help of the modeling commands. Furthermore, the system was evaluated to be intuitive and easy to use.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2018
Autor(en): Fellner, Dieter W. ; Kuijper, Arjan ; Getto, Roman ; Merz, Johannes
Art des Eintrags: Bibliographie
Titel: Simplified Definition of Parameter Spaces of a Procedural Model using Sketch-based Interaction
Sprache: Englisch
Publikationsjahr: 2018
Ort: Setúbal, Portugal
Verlag: SciTePress
Buchtitel: Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Veranstaltungstitel: International Conference on Computer Graphics Theory and Applications (GRAPP)
Veranstaltungsort: Funchal, Madeira, Portugal
Veranstaltungsdatum: 27.01.2018-29.01.2018
DOI: 10.5220/0006613002230231
URL / URN: https://doi.org/10.5220/0006613002230231
Kurzbeschreibung (Abstract):

This paper presents a novel technique to intuitively insert meta-parameters into a procedural model with the help of sketch-based interaction. The procedural model is represented in a GML (Generative Modeling Language) representation, which is a script language that focuses on the description of three-dimensional models. A GML model consists of a sequence of procedural modeling commands, for example extrusions. These are called with a set of local offset positions, which can be converted to global space and anchored in the surface mesh by finding reference vertices on the mesh. The system uses a deformation technique to deform the surface of the model. During the deformation, the reference vertices provide the global offset positions, whose path can be approximated by a B-spline. Exchanging the initial values of the commands by this B-spline, defines a continuous parameter space of the meta-parameter. The deformation process is supported by a mesh segmentation to create pre-defined deformation targets. Using sketch-based methods, these can be adapted to the user's needs. The results show that the system closely imitates the deformation with the help of the modeling commands. Furthermore, the system was evaluated to be intuitive and easy to use.

Freie Schlagworte: Sketch based modeling, Sketching, 3D Modeling, Parameter ranges, Parametric modeling, Procedural modeling
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing
Hinterlegungsdatum: 01 Jul 2019 08:48
Letzte Änderung: 03 Jul 2024 10:54
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