Intersection Distance Field Collision for GPU

Bastian Krayer, Rebekka Görge, Stefan Müller
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Abstract

We present a framework for finding collision points between objects represented by signed distance fields. Particles are used to sample the region where intersections can occur. The distance field representation is used to project the particles onto the surface of the intersection of both objects. From there information, such as collision normals and intersection depth can be extracted. This allows for handling various types of objects in a unified way. Due to the particle approach, the algorithm is well suited to the GPU.
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交叉距离场碰撞GPU
我们提出了一个框架,用于寻找由符号距离域表示的对象之间的碰撞点。粒子被用来对可能发生交集的区域进行采样。距离场表示用于将粒子投影到两个物体相交的表面上。从那里可以提取碰撞法线和相交深度等信息。这允许以统一的方式处理各种类型的对象。由于采用粒子方法,该算法非常适合GPU。
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