TU Darmstadt / ULB / TUbiblio

Multilevel Cloth Simulation Through GPU Surface Sampling

Schmitt, Nikolas (2013)
Multilevel Cloth Simulation Through GPU Surface Sampling.
Technische Universität Darmstadt
Masterarbeit, Bibliographie

Kurzbeschreibung (Abstract)

Nowadays, cloth simulation is more and more common technique used in garment industry. Most available simulation systems use triangular mesh models due to their flexibility for the mesh generation. However, using regular grids opens the door for many optimizations. Connectivity is implicit, warp and weft directions of the cloth are aligned to grid edges and distances between particles are equal, which gives valuable speed advances for the computations. This work focusses in combining both grid model types into one hybrid simulation system. The presented system features CPU computations for a low-resolution triangle mesh. Additionally, a GPU-based method is performed efficiently on a high-resolution grid representation. This improves the fine details of the garment. Coupling is performed by a texture based approach for fast up and down projections of the hybrid grid simulation system. The flexible system allows individual computation types to be performed on different architectures, data representations and detail levels. The results show the ability to handle simulations with more than 250k particles in real-time, featuring the new hierarchical solver in conjunction with GPU collision handling.

Typ des Eintrags: Masterarbeit
Erschienen: 2013
Autor(en): Schmitt, Nikolas
Art des Eintrags: Bibliographie
Titel: Multilevel Cloth Simulation Through GPU Surface Sampling
Sprache: Englisch
Publikationsjahr: 2013
Kurzbeschreibung (Abstract):

Nowadays, cloth simulation is more and more common technique used in garment industry. Most available simulation systems use triangular mesh models due to their flexibility for the mesh generation. However, using regular grids opens the door for many optimizations. Connectivity is implicit, warp and weft directions of the cloth are aligned to grid edges and distances between particles are equal, which gives valuable speed advances for the computations. This work focusses in combining both grid model types into one hybrid simulation system. The presented system features CPU computations for a low-resolution triangle mesh. Additionally, a GPU-based method is performed efficiently on a high-resolution grid representation. This improves the fine details of the garment. Coupling is performed by a texture based approach for fast up and down projections of the hybrid grid simulation system. The flexible system allows individual computation types to be performed on different architectures, data representations and detail levels. The results show the ability to handle simulations with more than 250k particles in real-time, featuring the new hierarchical solver in conjunction with GPU collision handling.

Freie Schlagworte: Multiresolution, Particle systems, Parallel processing, Graphics card
Zusätzliche Informationen:

77 p.

Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 12 Nov 2018 11:16
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen