Surface and Motion Capture for High Fidelity Synthesis of Digital Humans

用于数字人高保真合成的表面和运动捕捉

• 批准号: 0098005
• 负责人: Zoran Popovic
• 金额: $ 30万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-08-01 至 2005-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0098005&HistoricalAwards=false
• 关键词: Surface; Motion; Capture; Fidelity; Synthesis

Proposal #0098005Popovic, ZoranU of WashingtonWe propose a multi-layered approach to capturing and synthesizing realistic human shapes and motions. To capture the static shape of real humans, we will employ 3D scanning techniques including hierarchical light striping, simultaneous multi-striping, and photometric stereo. A feature-tracked motion capture system as well as 3D scanning techniques will generate motion data. The investigators will acquire this motion data at varying resolutions in order to drive the analysis of skeletal motion, body part deformation such as bulging due to flexing a muscle, and secondary motion such as leg vibrations that occur when stomping on the ground.This wealth of human data will then drive an analysis, modeling, and synthesis stage. The static scan data will be analyzed to construct the space of possible human shapes. This human shape model together with the body part motion capture and full-body motion capture will be used to construct a detailed kinematicmodel of the human body. Modeling human shape movement at such different levels of detail will allow control of the human motion on the coarse skeletal level while preserving the fine details such as muscle bulging. Furthermore, this multi-layered approach will enable selective replacement of different layers in the human model structure. For example, it will be possible to map the animated movement onto a different body scan and observe a different surface shape movement and creasing. The detailed kinematic human model will be further extended with a model of human dynamics by taking into account a number of physical properties of the human body such as muscle usage and mass distribution. This additional dynamic information provides a way to preserve the realism of motion even when the structure of motion is significantly modified. In addition, the investigators will extend the skeletal dynamic model with secondary motion simulations constructed to replicate the loose skin and tissue vibrations that occur in high-energy movements.The investigators will incorporate their work into new curriculum both at their university and in courses being offered to the professional community. This work will be folded into CDROM's that reach a wide audience, including the general public and a broad spectrum of high school students who may be considering careers in information technology. The results of the research will include complex databases of human shape and motion to be distributed to the general research community in order to encourage further research in this area.

建议#0098005Popovic，ZoranU华盛顿我们提出了一个多层次的方法来捕捉和合成逼真的人体形状和运动。 为了捕捉真实的人体的静态形状，我们将采用3D扫描技术，包括分层光条纹，同时多条纹，和光度立体。 一个特征跟踪的运动捕捉系统以及3D扫描技术将生成运动数据。 研究人员将以不同的分辨率获取这些运动数据，以推动骨骼运动、身体部位变形（如肌肉弯曲引起的隆起）以及次级运动（如踩踏地面时发生的腿部振动）的分析。这些丰富的人体数据将推动分析、建模和合成阶段。静态扫描数据将被分析，以构建可能的人体形状的空间。 该人体形状模型与身体部分运动捕捉和全身运动捕捉一起将被用于构建人体的详细运动学模型。 在这种不同的细节层次上对人体形状运动进行建模将允许在粗略的骨骼层次上控制人体运动，同时保留诸如肌肉膨胀的精细细节。 此外，这种多层方法将允许选择性地替换人体模型结构中的不同层。 例如，可以将动画运动映射到不同的身体扫描上，并观察不同的表面形状运动和折痕。 详细的人体运动学模型将进一步扩展为人体动力学模型，并考虑到人体的一些物理特性，如肌肉使用和质量分布。 这种附加的动态信息提供了一种即使在运动的结构被显著修改时也能保持运动的真实性的方法。 此外，研究人员将扩展骨骼动力学模型，构建二次运动模拟，以复制高能量运动中发生的松弛皮肤和组织振动。研究人员将把他们的工作纳入大学和专业团体的新课程。 这项工作将被折叠成光盘的，达到广泛的受众，包括公众和高中学生谁可能考虑在信息技术的职业生涯广泛。 研究结果将包括将分发给一般研究界的人体形状和运动的复杂数据库，以鼓励这一领域的进一步研究。