Edge Collision Detection in Complex Deformable Environments

Thomas Jund, David Cazier, Jean-François Dufourd
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引用次数: 5

Abstract

We present in this paper a simulation framework that allows a precise and efficient handling of collisions and contacts between deformable moving bodies and their environment. The moving bodies are sampled as meshes whose vertices are followed in a convex subdivision of the surrounding space. Particles are continuously spanned along the edges to detect collisions with cells of this subdivision. Our method supports dynamic subdivision of the moving bodies and contact areas. It allows us to correctly handle geometric and topological changes in the environment, like cuts, tears or breaks and, more generally, additions or removals of material. We report experimental results obtained with mass spring and shape matching based physical simulations and discuss the performance of our method. We compare our approach with classical ones based on hierarchical data structures.
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复杂变形环境中的边缘碰撞检测
在本文中,我们提出了一个模拟框架,允许精确和有效地处理可变形运动物体与其环境之间的碰撞和接触。移动的物体被采样为网格,其顶点在周围空间的凸细分中被遵循。粒子沿着边缘连续地跨越,以检测与该细分的细胞的碰撞。我们的方法支持运动物体和接触区域的动态细分。它使我们能够正确处理环境中的几何和拓扑变化,如切割、撕裂或断裂,以及更普遍的材料的添加或移除。我们报告了基于质量弹簧和形状匹配的物理模拟的实验结果,并讨论了我们的方法的性能。我们将我们的方法与基于分层数据结构的经典方法进行了比较。
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