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Research of collision detection algorithm based on hybrid bounding box for complex environment

机译:基于混合包围盒的复杂环境碰撞检测算法研究

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In this paper, the detection efficiency of common collision detection (CD) algorithms are analyzed and compared firstly. Then a new CD algorithm using hybrid bounding box is presented based on the principal characteristics that complex virtual environment has many objects. This algorithm can reduce the time complexity from o(n2) to o(n) by using the relationship of time and geometry between the frame and the frame, and it can reasonably control the detection depth for different applications to quicken the detection rate by introducing the conception of depth of the tree. At last, the experiment demonstrates that the algorithm can satisfy the real-time interactive collision detection for environment consisting of more than 800 moving objects.
机译:本文首先分析和比较了通用碰撞检测算法的检测效率。然后,基于复杂虚拟环境中存在许多对象的主要特点,提出了一种新的基于混合边界盒的CD算法。该算法通过利用帧与帧之间的时间和几何关系,可以将时间复杂度从o(n2)降低到o(n),并且可以合理地控制不同应用的检测深度,通过引入来加快检测速度。树的深度的概念。实验表明,该算法能够满足800多个运动对象环境的实时交互式碰撞检测。

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