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.

皮肤变形运动捕获的数据驱动动画已经非常成功地用于为娱乐应用创建引人注目的人类动画。但是，如果我们要查看一个实际执行这些操作的人，它仅提供了一个简化的版本。数据包含骨骼运动的运动，但错过了视觉上重要的效果，例如肌肉的隆起和肉体的摇动。目前的最新状态使用40-60个标记来近似15-22个段的刚体运动。 在可能的情况下，标记将其放置在关节轴和骨标记上，以便更容易地使用它们来找到理想化的骨骼的运动。 研究人员正在采用另一种方法来捕捉运动，并使用放置在人体的肌肉和肉质部位上的大量标记（约350-500），不仅捕获骨骼运动的运动，而且捕获皮肤表面的运动。 皮肤和肌肉变形的模型将在诸如计算机动画，视频游戏，手术计划，人形机器人技术和生物工程等领域中具有长期应用。研究人员正在使用捕获的数据来构建通过关节角度，速度，速度和变形的人类运动中看到的变形的动态模型。 这些模型用于将被捕获的数据概括为新的动作和具有相似人体类型的新受试者。研究人员已经能够通过将三维轨迹应用于该密集标记物的三维轨迹来准确地重建身体表面的运动。 他们正在探索多种不同的方法来概括此数据，从简单的统计动力学模型到相对准确的解剖模型，并从数据中识别出参数。