Muscle-based inverse dynamics for high-fidelity human models

用于高保真人体模型的基于肌肉的逆动力学

• 批准号: 491619-2015
• 负责人: VandePanne, Michiel
• 金额: $ 1.82万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=587003
• 关键词: Muscle; based; inverse; dynamics; fidelity

The creation of high-fidelity character animation for visual effects, games, and simulations currently demands significant time and effort. Physics-based simulations of how muscles help drive human motion offer the possibility of creating high-realistic models of the human form as it moves. This project will investigate several mathematical models that can efficiently compute the muscle activations that are needed to reproduce a given movement. These muscle activations then drive the deformable muscle models that give a detailed human body model its realistic shape, as required by state-of-the-art applications in visual effects and virtual reality.

目前，为视觉效果、游戏和模拟创建高保真角色动画需要 重要的时间和努力。基于物理的肌肉如何帮助驱动人体运动的模拟提供了 创造高度逼真的人体模型的可能性，因为它移动。该项目将调查几个 数学模型，可以有效地计算肌肉激活，需要重现给定的 运动这些肌肉激活然后驱动可变形的肌肉模型，给出详细的人体 根据视觉效果和虚拟现实中最先进的应用程序的要求，对其逼真的形状进行建模。