基于生物模型和GPU加速的实时鱼类运动仿真

针对目前鱼类运动实时模拟系统计算量大、复杂度高、很难在普通PC上进行实时模拟等问题,提出了一种基于生物模型和硬件加速的鱼类运动实时模拟方法,该方法在对鱼类生物模型和运动进行分析的基础上,对鱼类进行模块化建模,同时对鱼的运动进行分解并设计了统一的鱼类运动函数,通过GPU进行并行加速处理,提高了算法的运算速度,实现了在普通PC上的鱼类实时运动模拟,并取得了较好的效果。

Real-time Simulation Based on Biophysics Model and GPU Acceleration for Fish Locomotion

Due to the problems existing in current system of real-time simulation on fish locomotion, such as heavy calculation, high complexity and difficulty in real-time simulation on ordinary PC, a new real-time simulation method was raised based on biological model and hardware acceleration, This method, based on the analysis of fish biological modeling and its locomotion, established the modularized model of fish, and in the meantime broke down fish Icomotions into several parts and designed a uniform function for fish locomotions. Through the parallel acceleration processing by GPU, the algorithms were accelerated, the real-time simulation offish locomotion on ordinary PC was realized and a good effect was achieved.