Data-Driven Animation of Skin Deformations

数据驱动的皮肤变形动画

• 批准号: 0702556
• 负责人: Jessica Hodgins
• 金额: $ 32.5万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0702556&HistoricalAwards=false
• 关键词: Data; Driven; Animation; Skin; Deformations

Data-driven Animation of Skin DeformationsOptical motion capture has been used very successfully to create compelling human animations for entertainment applications; however, it provides only a much simplified version of what we would see if we were to view a person actually performing those actions. The data contain the motion of the skeleton but miss such visually important effects as the bulging of muscles and the jiggling of flesh. The current state of the art uses 40-60 markers to approximate the rigid body motion of15-22 segments. To the extent possible, the markers are placed on joint axes and bony landmarks so that they can more easily be used to find the motion of an idealized skeleton. The investigators are taking a different approach to motion capture and use a very large set of markers (approximately 350-500) placed on the muscular and fleshy parts of the body to capture not only the motion of the skeleton but also the motion of the surface of the skin. Models of skin and muscle deformations will have long term applications in such fields as computer animation, video games, surgical planning, humanoid robotics, and bioengineering.The investigators are using captured data to construct dynamic models of the deformations seen in human motion parameterized by joint angle, velocity, and torque. Those models are used to generalize captured data to new motions and new subjects with a similar body type.The investigators have been able to accurately reconstruct the motion of the surface of the body by applying the three-dimensional trajectories for this dense marker set to a subject-specific polygonal model. They are exploring a number of different approaches to generalize this data ranging from simple statistical dynamic models to relatively accurate anatomical models with parameters identified from the data.

数据驱动的皮肤变形动画光学动作捕捉已被非常成功地用于为娱乐应用创建引人注目的人体动画；然而，它只提供了一个非常简化的版本，如果我们要查看一个人实际执行这些操作，我们会看到什么。这些数据包含骨骼的运动，但忽略了肌肉膨胀和肉体抖动等重要的视觉效果。目前的技术水平使用 40-60 个标记来近似 15-22 个分段的刚体运动。 在可能的范围内，标记被放置在关节轴和骨标志上，以便它们可以更容易地用于找到理想化骨骼的运动。 研究人员正在采用不同的运动捕捉方法，并使用放置在身体肌肉和肉质部位的大量标记（大约 350-500 个）来不仅捕捉骨骼的运动，还捕捉表面的运动皮肤的。 皮肤和肌肉变形模型将在计算机动画、视频游戏、手术规划、人形机器人和生物工程等领域得到长期应用。研究人员正在使用捕获的数据构建由关节参数化的人体运动变形的动态模型角度、速度和扭矩。 这些模型用于将捕获的数据概括为新的运动和具有相似身体类型的新受试者。研究人员已经能够通过将这个密集标记集的三维轨迹应用到一个模型来准确地重建身体表面的运动。特定于主题的多边形模型。 他们正在探索多种不同的方法来概括这些数据，从简单的统计动态模型到具有从数据中识别的参数的相对准确的解剖模型。