一种头发动态模拟方法

该文提出了一种新奇的方法来表示头发,该方法建立在离散层次细节模型上,通过恰当重组和细分来表示头发。这种离散层次细节模型包括：单根头发,头发簇和头发束,通过一个基轴来控制头发的运动。基轴用四叉树数据结构来重组和细分。在运行时,通过头发的运动、头发是否可见以及与视点的距离来选择恰当的离散和连续头发层次表示。头发的碰撞检测算法是通过扫描体来快速准确交叉计算。同时,这些头发模拟和碰撞检测的方法在头发运动的整体性能和可视质量上达到一种柔性平衡。此外,该方法能够模拟不同的发型、各种头发的长度以及头发的运动。

A Method of Hair Dynamic Simulation

A novel approach for adaptively grouping and subdividing hair using discrete level-of-detail(LOD) representations was presented.The set of discrete LODS included hair strands,clusters and strips.Their dynamic behaviors were controlled by a base skeleton.The base skeletons were subdivided and grouped to form clustering hierarchies by using a quad-tree data structure during the precomputation.At run time,our algorithm traversed the hierarchy to create continuous LODS on the fly and chose both the appropriate discrete and continuous hair LOD representations based on the motion,the visibility,and the viewing distance of the hair from the viewer.The collision detection for hair represented by the proposed LODS relied on a family of "swept sphere volumes" for fast and accurate intersection computations.These approaches for hair simulation and collision detection offered the flexibility to balance between the overall performance and visual quality of the animated hair together.Furthermore,the approach is capable of modeling various styles,lengths and motions of hair.