Premium
Target‐driven cloud evolution using position‐based fluids
Author(s) -
Zhang Zili,
Li Yunfei,
Yang Bailin,
Li Frederick W. B.,
Liang Xiaohui
Publication year - 2020
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.1937
Subject(s) - position (finance) , cloud computing , computer science , particle (ecology) , field (mathematics) , phase (matter) , statistical physics , physics , mathematics , finance , economics , operating system , oceanography , quantum mechanics , pure mathematics , geology
To effectively control particle‐based cloud evolution without imposing strict position constraints, we propose a novel method integrating a control force field and a phase transition control into the position‐based fluids (PBF) framework. To produce realistic cloud simulation, we incorporate both fluid dynamics and thermodynamics to govern cloud particle movement. The fluid dynamics is simulated through our novel driving and damping force terms. As these terms are only formulated based on cloud particle density and position, they simplify the inputs and make our method free from artificial positional constraints. The thermodynamics is implemented by our phase transition control, which can effectively simulate cloud evolution between discrepant initial and target shapes, producing plausible results. Uniquely, our method can also support target shape change during cloud simulation. Experiment results have demonstrated our method surpasses existing methods.