期刊文献+

基于粒子系统和GPU加速的喷泉实时仿真 被引量:4

Real-time Fountain Simulation Based on Particle System and GPU Accelerated
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摘要 使用粒子系统实现的喷泉效果能够有效的增强三维场景的真实感,但传统的粒子系统在实时仿真中,粒子总数最多只能达到一万个左右,限制了喷泉规模和模拟效果。针对上述问题,提出了基于GPU加速的粒子系统喷泉模型,该方法将所有计算全部放在GPU中进行并行加速处理,提高了算法的运算速度,能够对100万数量级的喷泉粒子进行实时绘制,同时还模拟了水滴运动的视觉图像残留效应,有效地提高了喷泉的真实感。 The fountain effect realized by particle system can consumedly enhance the reality in three-dimensional scenes. However, traditional particle system can only handle about 10000 particles and therefore has a great limit on the fountain scale and simulation effect. Due to the problems mentioned above, a new fountain model raised based on GPU acceleration, which could render up to 1 million particles in real-time simulation. In addition, this model also achieves persistence of vision effect in water droplets' movement, and effectively enhances the fountain's reality.
出处 《系统仿真学报》 CAS CSCD 北大核心 2009年第10期3139-3141,3145,共4页 Journal of System Simulation
关键词 粒子系统 喷泉 GPU 并行计算 particle system fountain GPU parallel computing
作者简介 李建明(1975-),男,辽宁葫芦岛人,博士,研究方向为虚拟现实与系统仿真; 吴云龙(1982-),男,黑龙江佳木斯人,硕士生,研究方向为虚拟现实与系统仿真; 何荣盛(1978-),广西桂林人,硕士,讲师.研究方向为虚拟现实和系统仿真; 钱昆明(1941-),辽宁大连人,教授,研究方向为虚拟现实、多媒体技术等。
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参考文献9

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二级引证文献11

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