Novel fluid detail enhancement based on multi-layer depth regression analysis and FLIP fluid simulation

In this paper, we propose a novel integrated method for effective modeling and realistic enhancement of scale-sensitive fluid simulation details. The core of our method is the organic of multi-layer depth image regression analysis and FLIP fluid simulation, of which, the regression analysis induces the criterion where the fluid details should be produced. First, we capture the depth buffer of the fluid surface dynamically from the top of scene. Second, we employ depth peeling technique to decompose the target fluid volume into multiple depth layers and conduct time-space analysis over surface layers. Third, we propose a logistic regression based model to rigorously pinpoint the ∗Corresponding author: [email protected]. †Y. Qiu, L. Yang, S., Q. Xia, and A. Hao are with State Key Laboratory of Virtual Reality Technology and Systems, Beihang University. ‡H. Qin are with the Department of Computer Science, Stony Brook University.