Adaptive Physically Based Models in Computer Graphics. (28th June 2016)

• Record Type: Journal Article
• Authors: Manteaux, P.‐L.; Wojtan, C.; Narain, R.; Redon, S.; Faure, F.; Cani, M.‐P.
• Is Part Of: Computer graphics forum. Volume 36:Number 6(2017)
• Page Start: 312
• Page End: 337
• Publication Date: 2016-06-28
• Subjects: adaptivity -- physically based animation -- I.3.7 Computer GraphicsThree‐Dimensional Graphics and Realism‐Animation; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.12941
• Languages: English
• ISSNs: 0167-7055

Abstract

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. 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.