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Accurate and Efficient Visual Simulation of Fiber-based Mechanical Structures

Accurate and Efficient Visual Simulation of Fiber-based Mechanical Structures
纤维机械结构的准确高效的视觉模拟
批准号:
0702490
负责人:
Steve Marschner
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-07-01 至 2011-03-31

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中文摘要
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英文摘要
Accurate and Efficient Visual Simulation of Fiber-based Mechanical StructuresSteve Marschner, Cornell UniversityMany of the most difficult challenges in simulation for computer graphics involve materials composed of fibers. In applications where appearance matters, from designing textiles and apparel to rendering virtual actors to formulating hair cosmetics, understanding how these materials' physical properties affect their motion and appearance is crucial. Fiber-based structures behave differently from other materials. A knit fabric is much more extensible than its component yarns because the yarns can bend and slide into different macroscopic shapes. A head of long hair moves freely but smoothly, making and breaking millions of hair-hair contacts to produce a partly smooth, partly discontinuous overall motion. This research aims to improve the accuracy of cloth and hair simulation by fundamentally changing the underlying physical and computational models.The project follows an approach of measurement, modeling, simulation, and validation. Image-based measurement is used to capture complete fabric deformations. This data, together with the literature on yarn-level textile mechanics, is used to develop constitutive models based on the actual physics of fabric, which are simulated using advanced numerical methods not normally employed in textile simulation. The results are being evaluated both against the laboratory data and in the context of real problems in apparel design. By bringing together the tools of modern graphics and simulation with the detailed models of textile mechanics in a rigorous process of validation, this project is placing computer graphics cloth simulation on a firm scientific foundation for the future. Computational methods devised for fiber-fiber interactions are also being extended for efficient strand-level simulation of hair. After the simulations are validated, the project will examine approximations and algorithms to allow efficient simulation. The end result will be new, physics-based models for the mechanics of cloth and hair that are appropriate for visual applications.
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Collaborative Research: HCC: Medium: Neural Materials for Realistic Computer Graphics
  • 批准号:
    2212084
  • 项目类别:
    Standard Grant
  • 资助金额:
    $80.0万
  • 财政年份:
    2022
  • 负责人:
    Steve Marschner
  • 依托单位:
CHS: Small: A wave optics foundation for predictive materials in computer graphics
  • 批准号:
    1909467
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.98万
  • 财政年份:
    2019
  • 负责人:
    Steve Marschner
  • 依托单位:
CHS: Medium: Collaborative Research: Fast Photorealistic Computer Graphics Rendering of Non-Smooth Surfaces
  • 批准号:
    1704540
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $58.75万
  • 财政年份:
    2017
  • 负责人:
    Steve Marschner
  • 依托单位:
CM/Collaborative Research: Simulation-based Software Tools for Automated Knitting
  • 批准号:
    1644523
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2016
  • 负责人:
    Steve Marschner
  • 依托单位:
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