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Two different views on collision detection

机译:关于碰撞检测的两种不同观点

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摘要

In this article, we present two algorithms for precise collision detection between two potentially colliding objects. The first one uses axis-aligned bounding boxes (AABB) and is a typical representative of a computational geometry algorithm. The second one uses spherical distance fields originating in image processing. Both approaches addresses the following challenges of collision detection algorithms: just in time, little resources, inclusive etc. Thus both approaches are scalable in the information they give in collision determination and the analysis up to a fixed refinement level, the collision time depends on the granularity of the bounding volumes and it is also possible to estimate the time bounds for the collision test tightly
机译:在本文中,我们提出了两种算法,用于两个潜在碰撞对象之间的精确碰撞检测。第一个使用轴对齐的包围盒(AABB),是计算几何算法的典型代表。第二种方法使用源自图像处理的球面距离场。两种方法都解决了碰撞检测算法的以下挑战:及时,资源少,包容性等等。因此,这两种方法都可以在确定碰撞和分析时提供的信息中扩展到固定的精确度,碰撞时间取决于边界体积的粒度,还可以紧密估计碰撞测试的时间范围

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