Physically-based enhancement in shallow water resimulation

To resimulate a customized fluid derived product by analyzing an existing fluid is significant and difficult. This paper proposes a driven model recovery method, which is challenging in fluid resimulation customization. First, fluid physical properties are calculated under the constraints of appearance and dynamic behavior of the example water. Second, a hybrid particle lattice Boltzmann method for shallow water (LBMSW) is recovered from the dynamic geometry on fluid surface. As it is found that the resimulation details fade gradually with LBMSW auto-advection, a physically-based enhancement scheme is presented. A nonlinear algorithm is introduced to stretch the faded density to retain resimulation details. Experiments show that the proposed approach can obtain more realistic resimulation products in several challenging scenarios.