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Acquisition and Modeling of Non-Rigid Shape and Deformation

Acquisition and Modeling of Non-Rigid Shape and Deformation
非刚性形状和变形的采集和建模
批准号:
0541227
负责人:
Jovan Popovic
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-08-15 至 2010-07-31

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中文摘要
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英文摘要
Acquisition and Modeling of Non-Rigid Shape and DeformationThe acquisition of three-dimensional digital replicas of real-word objects enables digital archiving, virtual restoration, simulation, medicine, education, reverse engineering, and many other applications. The recent success of the efforts to digitize sculptures by Michelangelo, the Florentine Pieta, and artifacts in Cairo's Egyptian Museum demonstrate that the technical challenges involved in scanning static, rigid objects have been largely solved. However, the same scanning technology is far less effective for numerous applications requiring digitization of non-rigid, deforming objects, including humans, animals, and the environment. For example, the state-of-the-art scanners today require human patients to remain motionless in a single pose for several seconds even though infants, small children, and people with disabilities may find it difficult to remain still for the required time periods. More fundamentally, the key drawback of present-day scanning technology is that a single, static scan of a deformable object is a poor representation of its shape because human and animal shapes can easily change at any time instant.This research tackles the algorithmic challenges in acquiring moving three-dimensional shapes. Using high-speed depth cameras to acquire real-time range images allows the object to change freely throughout the scanning process and in the process reveal its entire shape, including the usually occluded regions. The acquired range images are then automatically processed to compute temporal correspondence between data points in nearby frames; to reverse the motion of these data points; and to reconstruct the moving three-dimensional shape in its entirety by aggregating partial information from each time frame. These algorithms simplify acquisition of non-rigid shapes and enable new applications such as studies of locomotion development in humans and animals and content creation for education and training.
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CPA-G&V: Physically Valid Simulation of Active Human Motion
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海外基金
Galaxy Analytical Modeling Evolution (GAME) and cosmological hydrodynamic simulations.
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2025
  • 负责人:
    Antonios Katsianis
  • 依托单位: