A Rigging‐Skinning Scheme to Control Fluid Simulation

Inspired by skeletal animation, a novel rigging‐skinning flow control scheme is proposed to animate fluids intuitively and efficiently. The new animation pipeline creates fluid animation via two steps: fluid rigging and fluid skinning. The fluid rig is defined by a point cloud with rigid‐body moveme...

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Bibliographic Details
Published in:Computer graphics forum 2019-10, Vol.38 (7), p.501-512
Main Authors: Lu, Jia‐Ming, Chen, Xiao‐Song, Yan, Xiao, Li, Chen‐Feng, Lin, Ming, Hu, Shi‐Min
Format: Article
Language:English
Subjects:
Animation
CCS Concepts
Cloud computing
Computational fluid dynamics
Computer simulation
Computing methodologies → Physical simulation
Deformation
Flow control
Fluid flow
Fluidizing
Fluids
Incompressible flow
Iterative methods
Optimization
Rigging
Rigid structures
Rigid-body dynamics
Skin
Solvers
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Summary:Inspired by skeletal animation, a novel rigging‐skinning flow control scheme is proposed to animate fluids intuitively and efficiently. The new animation pipeline creates fluid animation via two steps: fluid rigging and fluid skinning. The fluid rig is defined by a point cloud with rigid‐body movement and incompressible deformation, whose time series can be intuitively specified by a rigid body motion and a constrained free‐form deformation, respectively. The fluid skin generates plausible fluid flows by virtually fluidizing the point‐cloud fluid rig with adjustable zero‐ and first‐order flow features and at fixed computational cost. Fluid rigging allows the animator to conveniently specify the desired low‐frequency flow motion through intuitive manipulations of a point cloud, while fluid skinning truthfully and efficiently converts the motion specified on the fluid rig into plausible flows of the animation fluid, with adjustable fine‐scale effects. Besides being intuitive, the rigging‐skinning scheme for fluid animation is robust and highly efficient, avoiding completely iterative trials or time‐consuming nonlinear optimization. It is also versatile, supporting both particle‐ and grid‐ based fluid solvers. A series of examples including liquid, gas and mixed scenes are presented to demonstrate the performance of the new animation pipeline.
ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.13856