Method for restoring and resimulating physical video fluid driving model

Abstract

The invention discloses a method for restoring and re-simulating a physical video fluid driving model, and aims to obtain a fluid simulating result of reverse engineering by using a sample frame of a video stream. The method comprises the following steps: firstly, by an HS (Horn-Schunck) method, calculating the two-dimensional motional velocity of a first frame fluid particle in each layer by using a multi-scale framework; secondly, with a shallow water equation as a constraint in each layer, obtaining relatively accurate fluid velocity and non-normalized geometry; thirdly, in the fluid simulating process, with the geometry on the surface of the sample frame as a constraint, regulating the density attribute of fluid particle motion so as to obtain a fluid simulating physical driving model; finally, re-simulating by using the enhanced particle density to obtain a re-simulating result with real details. The method can be effectively applied to research and application of reverse engineering of the stream; by the method, any scene can be customized and the problems that in conventional physical fluid simulation, the calculation amount is large and the real-time performance is poor are solved.

Description

technical field [0001] The invention relates to the recovery of physical attributes and drive models in video fluid reverse engineering. Using the multi-scale framework of motion vector calculation and shallow water wave equation optimization to obtain the non-normalized geometry of the fluid surface and the two-dimensional motion velocity of the initial frame, restore the fluid motion properties, obtain the driving model in reverse engineering, and obtain realistic details re-simulation results. Background technique [0002] Realistic fluid simulation has been widely used in computer games, animation, film special effects, military simulation and other fields, and the research on fluid simulation calculation has achieved many results. Limited to the calculation of a large number of physical properties in fluid physics simulation, in recent years people have begun to engage in the research of fluid simulation technology based on video. How to make full use of the rich real...

AI Technical Summary

Problems solved by technology

At present, people use the method of fluid motion speed tracking to realize the process of fluid re-simulation in research. The main problem is that the physical driving model of fluid motion has not really been restored; in other reverse engineering related research, people try to use Fluid simulation in low-dimensional space, in order to maintain the details of fluid simulation, how to build a simplified simulation model from low-dimensional space has become a bottleneck in research, although some efforts have been made to explore this problem, how to do it in the direction of fluid In the low-dimensional space of engineering, it is still a practical problem to be solved urgently to quickly generate similar results to the original fluid scene and long-sequence fluid resimulation results

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