Adaptive physically based models in computer graphics

Manteaux, Pierre-Luc and Wojtan, Chris and Narain, Rahul and Redon, Stéphane and Faure, François and Cani, Marie-Paule (2016) Adaptive physically based models in computer graphics. Computer Graphics Forum. ISSN 1467-8659

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Official URL: http://dx.doi.org/10.1111/cgf.12941

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.

Item Type: Article
Additional Information: This is the peer reviewed version of the following article: Manteaux, Pierre-Luc, Wojtan, Chris, Narain, Rahul, Redon, Stéphane, Faure, François, Cani, Marie-Paule: Adaptive physically based models in computer graphics. In: Computer Graphics Forum. Wiley, 2016,Epub ahead of print-., which has been published in final form at http://dx.doi.org/10.1111/cgf.12941. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Subjects: 000 Computer science, knowledge & general works > 000 Computer science, knowledge & systems
Research Group: Wojtan Group
SWORD Depositor: Sword Import User
Depositing User: Sword Import User
Date Deposited: 09 Sep 2016 07:18
Last Modified: 17 Oct 2017 07:18
URI: https://repository.ist.ac.at/id/eprint/634

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