Adaptive Physically Based Models in Computer Graphics

P. L. Manteaux; C. Wojtan; R. Narain; S. Redon; F. Faure; M. P. Cani

doi:10.1111/cgf.12941

Adaptive Physically Based Models in Computer Graphics

P. L. Manteaux
, C. Wojtan
, R. Narain
, S. Redon
, F. Faure
, M. P. Cani

Laboratoire Jean Kuntzmann (LJK)
University of Freiburg
University of Minnesota Twin Cities

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	312-337
Number of pages	26
Journal	Computer Graphics Forum
Volume	36
Issue number	6
DOIs	https://doi.org/10.1111/cgf.12941
Publication status	Published - 1 Sept 2017
Externally published	Yes

Keywords

I.3.7 Computer GraphicsThree-Dimensional Graphics and Realism-Animation
adaptivity
physically based animation

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10.1111/cgf.12941

Cite this

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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.",

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AU - Wojtan, C.

AU - Narain, R.

AU - Redon, S.

AU - Faure, F.

AU - Cani, M. P.

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AB - 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.

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Adaptive Physically Based Models in Computer Graphics

Abstract

Keywords

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