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.%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。
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