Adaptive physically based models in computer graphics Journal Article


Author(s): Manteaux, Pierre-Luc; Wojtan, Chris; Narain, Rahul; Redon, Stéphane; Faure, François; Cani, Marie-Paule
Article Title: Adaptive physically based models in computer graphics
Affiliation IST Austria
Abstract: One of the major challenges in physically based modelling is making simulations efficient. Adaptive models provide an essential solution to these efficiency goals. These models are able to self-adapt in space and time, attempting to provide the best possible compromise between accuracy and speed. This survey reviews the adaptive solutions proposed so far in computer graphics. Models are classified according to the strategy they use for adaptation, from time-stepping and freezing techniques to geometric adaptivity in the form of structured grids, meshes and particles. Applications range from fluids, through deformable bodies, to articulated solids.
Journal Title: Computer Graphics Forum
Volume: 36
Issue 6
ISSN: 1467-8659
Publisher: Wiley  
Date Published: 2017-09-01
Start Page: 312
End Page: 337
Sponsor: This work was partly supported by the starting grants ADAPT and BigSplash, as well as the advanced grant EXPRESSIVE from the European Research Council (ERC-2012-StG_20111012, ERC-2014-StG_638176 and ERC-2011-ADG_20110209).
URL:
DOI: 10.1111/cgf.12941
Open access: yes (repository)