Details

Autor(en) / Beteiligte

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

Titel

Adaptive Physically Based Models in Computer Graphics

Ist Teil von

• Computer graphics forum, 2017-09, Vol.36 (6), p.312-337

Ort / Verlag

Oxford: Blackwell Publishing Ltd

Erscheinungsjahr

2017

Quelle

EBSCOhost Business Source Ultimate

Beschreibungen/Notizen

• 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.