Back to Search
Start Over
Fluid Simulation with an L0 Based Optical Flow Deformation
- Source :
- Applied Sciences, Vol 10, Iss 6351, p 6351 (2020), Applied Sciences, Volume 10, Issue 18
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- Fluid simulation can be automatically interpolated by using data-driven fluid simulations based on a space-time deformation. In this paper, we propose a novel data-driven fluid simulation scheme with the L0 based optical flow deformation method by matching two fluid surfaces rather than the L2 regularization. The L0 gradient smooth regularization can result in prominent structure of the fluid in a sparsity-control manner, thus the misalignment of the deformation can be suppressed. We adopt the objective function using an alternating minimization with a half-quadratic splitting for solving the L0 based optical flow deformation model. Experiment results demonstrate that our proposed method can generate more realistic fluid surface with the optimal space-time deformation under the L0 gradient smooth constraint than the L2 one, and outperform the state-of-the-art methods in terms of both objective and subjective quality.
- Subjects :
- Fluid simulation
Computer science
Optical flow
space-time deformation
02 engineering and technology
Regularization (mathematics)
lcsh:Technology
Data-driven
Physics::Fluid Dynamics
lcsh:Chemistry
0202 electrical engineering, electronic engineering, information engineering
General Materials Science
Subjective quality
Instrumentation
lcsh:QH301-705.5
Fluid Flow and Transfer Processes
lcsh:T
Process Chemistry and Technology
sparsity
General Engineering
L0 regularization
020207 software engineering
Mechanics
lcsh:QC1-999
Computer Science Applications
TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
data-driven
Computer Science::Programming Languages
Minification
fluid simulation
lcsh:Engineering (General). Civil engineering (General)
Two fluid
lcsh:Physics
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 10
- Issue :
- 6351
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....cca7901e1971d3cad2a2b725d597547f