Title: Fluid Animation Based on Statistical Method

Abstract
One of the most intriguing problems in computer graphics is the simulation of fluid-like behavior. Most researches in fluid simulation have been focused on techniques for solving the famous incompressible Navier-Stokes equations for fluid flow to obtain physically accurate simulations. In this presentation, we introduce some fundamental concepts first, and then propose a novel method for fluid animation. We aim to obtain visually plausible fluid animation by constructing from the results of physically accurate simulations. We synthesize fluid motion from simulation samples precomputed by a full numerical solver. We dice simulation sample data in order to capture the properties of local fluid behavior and apply statistical techniques to abstract the dominant characteristics from each sample fragment so that these fragments can be selected and rearranged fast. Our technique will be suitable to be applied to visual effects design in movies as well as applications such as video games and virtual environments.