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一种拉格朗日粒子流体的高效表面重建方法

  

  • 出版日期:2016-10-31 发布日期:2016-10-20

An Efficient Surface Reconstruction Method for Lagrangian Particle Fluid

  • Online:2016-10-31 Published:2016-10-20
  • Supported by:
    国家自然科学基金项目(61502168)；中央高校基本科研业务费专项资金(2015MS126)；河北省自然科学基金项目(F2016502069)

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摘要： 为了在几何表示层面捕获拉格朗日粒子流体的表面细节特征以进行真实感绘制，提
出一种高效的基于八叉树的自适应流体表面重建方法。首先进行流体表面粒子的精确检测；然后
根据结点中是否包含流体表面粒子，对流体粒子的包围盒进行基于八叉树的自适应剖分；最后只
在包含流体表面粒子的叶子结点里建立隐式距离场。该方法在流体表面重建过程中的内存消耗和
计算复杂度只取决于流体表面而不是流体体积，适合大规模粒子流体场景的表面提取和绘制。

关键词: 拉格朗日粒子, 表面重建, 流体模拟, 真实感绘制

Abstract: In order to simulate small-scale geometrical features of Lagrangian particle fluid surface, this
paper presents an efficient octree-based adaptive fluid surface reconstruction approach. First, this
approach implements the more accurate detection of fluid surface particles. Then, the approach
adaptively decomposes the fluid particles’ AABB bounding boxes including fluid surface particles
based on octree. Finally, the implicit distance field is only constructed in the leaf nodes including fluid
surface particles. The memory consumption and computation complexity of fluid surface reconstruction
depend on fluid surface not fluid volume, so our method is very suitable for large scale fluid scenes.

Key words: Lagrangian particle, surface reconstruction, fluid simulation, realistic rendering