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An Efficiency Control Method Based on SFSM for Massive Crowd Rendering

机译:一种基于SFSM的大规模人群渲染效率控制方法

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For massive crowds, users often have the need for interactive roaming. A good roaming effect can make the user feel immersed in the crowd, and the scenes need to be populated with crowds of people that make the environment both alive and believable. This paper proposes a method of efficiency control for massive crowd rendering. First, we devise a state machine mechanism based on self-feedback, which can dynamically adjust the accuracy of crowd model rendering according to the relationship between the speed of the system rendering and the speed the users expect. Second, we propose a movement frequency update method to perform the frequency of motion update based on the distance between the individual and the viewpoint. In addition, we propose a variable precision point sampling drawing strategy to render the individual with different sampling precision. The state machine system in this paper effectively integrates two core technologies for dynamically controlling the accuracy of the model, ensuring visual efficiency, improving the rendering efficiency, and satisfying the fluency of users’ roaming interaction.
机译:对于大量人群,用户经常需要交互式漫游。良好的漫游效果可以使用户感到沉浸在人群中,并且需要在人群中填充场景,使环境既生动又可信。本文提出了一种大规模人群渲染的效率控制方法。首先,我们设计了一种基于自我反馈的状态机机制,该机制可以根据系统渲染速度与用户期望速度之间的关系动态调整人群模型渲染的准确性。其次,我们提出了一种运动频率更新方法,用于根据个体与视点之间的距离执行运动更新频率。此外,我们提出了一种可变精度的点采样绘图策略,以使个体具有不同的采样精度。本文的状态机系统有效地集成了两种核心技术,可动态控制模型的准确性,确保视觉效率,提高渲染效率并满足用户漫游交互的流畅性。

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