介绍基于物理的动画

Adam W. Bargteil, Tamar Shinar
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引用次数: 0

摘要

基于物理的动画已经成为计算机图形学的一个核心领域,在电影和视频游戏行业以及虚拟手术、虚拟现实和训练模拟等领域得到了广泛的应用。本课程向学生和实践者介绍了基于物理的动画的基本概念,强调了覆盖范围的广度,并为追求该领域更高级的主题和当前的研究提供了基础。课程侧重于传授实用知识和直观理解,而不是提供基础数学的详细推导。本课程适合没有物理动画背景的人-唯一的先决条件是基本微积分,线性代数和入门物理。我们从一个简单而完整的质量弹簧系统的例子开始,介绍了基于物理的动画背后的原理:数学建模和数值积分。从那里,我们系统地呈现了通常用于物理动画的数学模型,从牛顿的运动定律和质量、动量和能量守恒开始。然后,我们描述了动画刚体、软体和流体的基本物理和数学模型。然后,我们描述了这些连续模型如何在空间和时间上离散化,包括拉格朗日和欧拉公式,空间离散和插值,以及显式和隐式时间积分。在最后一节,我们讨论了常用的约束公式和求解方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An introduction to physics-based animation
Physics-based animation has emerged as a core area of computer graphics finding widespread application in the film and video game industries as well as in areas such as virtual surgery, virtual reality, and training simulations. This course introduces students and practitioners to fundamental concepts in physics-based animation, placing an emphasis on breadth of coverage and providing a foundation for pursuing more advanced topics and current research in the area. The course focuses on imparting practical knowledge and intuitive understanding rather than providing detailed derivations of the underlying mathematics. The course is suitable for someone with no background in physics-based animation---the only prerequisites are basic calculus, linear algebra, and introductory physics. We begin with a simple, and complete, example of a mass-spring system, introducing the principles behind physics-based animation: mathematical modeling and numerical integration. From there, we systematically present the mathematical models commonly used in physics-based animation beginning with Newton's laws of motion and conservation of mass, momentum, and energy. We then describe the underlying physical and mathematical models for animating rigid bodies, soft bodies, and fluids. Then we describe how these continuous models are discretized in space and time, covering Lagrangian and Eulerian formulations, spatial discretizations and interpolation, and explicit and implicit time integration. In the final section, we discuss commonly used constraint formulations and solution methods.
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