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Untangling Cloth

机译:解开布

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摘要

Deficient cloth-to-cloth collision response is the most serious shortcoming of most cloth simulation systems. Past approaches to cloth-cloth collision have used history to decide whether nearby cloth regions have interpenetrated. The biggest pitfall of history-based methods is that an error anywhere along the way can give rise to persistent tangles. This is a particularly serious issue for production character animation, because characters' bodies routinely self-intersect, for instance in the bend of an elbow or knee, or where the arm or hand rests against the body. Cloth that becomes pinched in these regions is often forced into jagged self-intersections that defeat history-based methods, leaving a tangled mess when the body parts separate. This paper describes a history-free cloth collision response algorithm based on global intersection analysis of cloth meshes at each simulation step. The algorithm resolves tangles that arise during pinching as soon as the surrounding geometry permits, and also resolves tangled initial conditions. The ability to untangle cloth after pinching is not sufficient, because standard cloth-solid collision algorithms handle pinches so poorly that they often give rise to visible flutters and other simulation artifacts during the pinch. As a companion to the global intersection analysis method, we present a cloth-solid collision algorithm called collision flypa-pering, that eliminates these artifacts. The two algorithms presented have been used together extensively and successfully in a production animation environment.
机译:布料对布料的碰撞响应不足是大多数布料模拟系统中最严重的缺点。过去的布匹碰撞方法已经使用历史来确定附近的布匹区域是否相互渗透。基于历史的方法的最大缺陷是,一路走来的任何错误都可能引起持久的纠结。对于生产角色动画而言,这是一个特别严重的问题,因为角色的身体通常会自动相交,例如在肘部或膝盖的弯曲处,或者手臂或手靠在身体上。在这些区域中被夹住的布料通常被迫进入锯齿状的自相交处,从而打败基于历史的方法,当身体部位分离时会留下混乱的局面。本文描述了一种基于历史的无历史衣物碰撞响应算法,该算法基于每个模拟步骤的布料网格的全局相交分析。一旦周围的几何体允许,该算法就可以解决捏合过程中出现的缠结,还可以解决缠结的初始条件。捏合后解开布料的能力还不够,因为标准的布料-固体碰撞算法对捏合的处理能力很差,以至于在捏合期间它们经常会引起可见的颤动和其他仿真伪像。作为全局相交分析方法的辅助方法,我们提出了一种称为碰撞飞行的布料-固体碰撞算法,该算法消除了这些伪像。所介绍的两种算法已在生产动画环境中广泛成功地使用。

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