Seabed biological cluster simulation method based on cluster collaborative algorithm and GPU optimization rendering

Abstract

The invention belongs to the field of computer graphics technology and bionics, in particular to a seabed biological cluster simulation method based on a cluster collaborative algorithm and GPU optimization rendering. The method comprises the following main steps: (1) motion simulation: designing and realizing a clustering algorithm based on individual multiple rules, and adding other interferencefactors to influence the movement effect of the cluster, adopting the GPU / CUDA for carrying out optimization operation, and greatly improving the operation efficiency; and (2) scene rendering: adopting a GPU vertex shader to achieve the animation effect of a biological individual, and drawing the scene content by adopting a GPU slice element shader, adopting a GPU transformational feedback technology to draw a particle system in a scene, drawing a realistic submarine scene, and adopting a multi-light-source rendering technology to effectively improve the scene and shadow effect and the stereoscopic impression. According to the invention, the clustering motion algorithm based on the individual rules is achieved based on the GPU, so that the cluster movement can achieve a dynamic balance and continuous evolution state, and a GPU programmable assembly line is adopted, so that the scene rendering is achieved.

Description

technical field [0001] The invention belongs to the fields of computer graphics technology and bionics, and in particular relates to a high-simulation simulation method for realizing the movement of seabed biological clusters by optimizing the rendering mode through a GPU based on a cluster collaborative algorithm. Background technique [0002] Bionics is a special subject that imitates creatures. People study the working principles of the structure and function of organisms, and invent new equipment and tools based on these principles, and create advanced technologies suitable for production, learning and life. Among them, the research on the movement of biological swarms has always been a hot spot in bionics. The movement of biological swarms refers to the behavior of simple individuals in biological swarms showing complex intelligence in the interaction. Swarm movement is a multi-body movement phenomenon that is ubiquitous in nature. It is a science that analyzes and pred...

AI Technical Summary

Problems solved by technology

In order to make the simulation more intuitive, some researchers use OpenGL to render the simulated objects, but the efficiency is low, only dozens of moving objects can be rendered, and the sense of reality is weak

In the field of traditional animation or game rendering, in order to achieve the rendering of group objects and ensure the authenticity, animators need to process each object individually. Each object should correspond to an animation data. When the group size is too large In addition, the traditional animation method can only present the motion data made for the rendered object, the motion state is fixed, it does not have the diversity and unpredictability of real motion, and it does not meet the requirements of bionic simulation. needs

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