Fluid animation rendering method based on detail capturing and form correcting

Abstract

The invention discloses a fluid animation rendering method based on detail capturing and form correcting in the technical field of computer image processing. The method comprises the following steps of: performing fluid simulation and optimizing a speed field in an initial scene according to a Navier-Stokes equation; updating a corresponding density field and a corresponding temperature field according to the optimized high-precision speed field by adopting a semi-Lagrangian method so as to be used for rendering and next-frame simulating; and finally, rendering an updated density field into a fluid animation. More colorful details can be captured through a high-speed discrete sine transform operator, the calculation scale of a part with highest time consumption in an original simulation method can be reduced through using a down-sampling or octree method, simultaneously the result is corrected, and the functions of increasing the simulation speed and keeping fluid simulation details are realized. Compared with the prior art, according to the method, the simulation speed is relatively high, and the fluid simulation details with high more accuracy can be acquired.

Description

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AI Technical Summary

Benefits of technology

This patented describes an improved way to render fluids that look like real life by taking detailed pictures from them quickly without any errors caused during simulations. It involves converting complex mathematical equations into simpler ones beforehand, allowing for quicker analysis compared to previous methods. Additionally, it suggests performing specific operations such as removing unwanted parts afterward instead of just adding new data points afterwards when needed. Overall, this technology improves the accuracy and effectiveness of simulating fluids over long periods of time.

Problems solved by technology

Technological Problem addressed in this patented technical problem relating to improving liquid display simulations through fluid motion analysis techniques like streaming or droplet impact can be related to various aspects involved in the development of new materials called hydrocresisites, specifically those made of cerium oxide crystals. These compositional structures have been studied intensively over decades ago, leading to increasingly fast response times compared to existing models. Additionally, they require longer computation times than previous solutions, further complicating their design processes. Therefore, the challenge lies in achieving efficient acceleration performance while maintaining high efficiency in fluid animation simulations without compromising certain key characteristics associated with each component being evaluated.

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