Adaptive Physically Based Models in Computer Graphics
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Date
2017
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Journal ISSN
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© 2017 The Eurographics Association and John Wiley & Sons Ltd.
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.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.
Description
@article{10.1111:cgf.12941,
journal = {Computer Graphics Forum},
title = {{Adaptive Physically Based Models in Computer Graphics}},
author = {Manteaux, P.‐L. and Wojtan, C. and Narain, R. and Redon, S. and Faure, F. and Cani, M.‐P.},
year = {2017},
publisher = {© 2017 The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.12941}
}