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Adaptive Physically Based Models in Computer Graphics
Author(s) -
Manteaux P.L.,
Wojtan C.,
Narain R.,
Redon S.,
Faure F.,
Cani M.P.
Publication year - 2017
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12941
Subject(s) - computer science , computer graphics , polygon mesh , adaptation (eye) , range (aeronautics) , graphics , compromise , stepping stone , computer graphics (images) , computational science , aerospace engineering , engineering , social science , physics , sociology , optics , economic growth , economics , unemployment
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.