Robust and Artefact‐Free Deformable Contact with Smooth Surface Representations.

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Title: Robust and Artefact‐Free Deformable Contact with Smooth Surface Representations.
Authors: Du, Y.1 (AUTHOR), Li, Y.1 (AUTHOR), Coros, S.1 (AUTHOR), Thomaszewski, B.1 (AUTHOR)
Source: Computer Graphics Forum. Dec2024, Vol. 43 Issue 8, p1-13. 13p.
Subjects: Computer-generated imagery, Tangential force, Inverse problems, Least squares, Self
Abstract: Modeling contact between deformable solids is a fundamental problem in computer animation, mechanical design, and robotics. Existing methods based on C0‐discretizations—piece‐wise linear or polynomial surfaces—suffer from discontinuities and irregularities in tangential contact forces, which can significantly affect simulation outcomes and even prevent convergence. In this work, we show that these limitations can be overcome with a smooth surface representation based on Implicit Moving Least Squares (IMLS). In particular, we propose a self collision detection scheme tailored to IMLS surfaces that enables robust and efficient handling of challenging self contacts. Through a series of test cases, we show that our approach offers advantages over existing methods in terms of accuracy and robustness for both forward and inverse problems. [ABSTRACT FROM AUTHOR]
Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Robust and Artefact‐Free Deformable Contact with Smooth Surface Representations.
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  Data: <searchLink fieldCode="JN" term="%22Computer+Graphics+Forum%22">Computer Graphics Forum</searchLink>. Dec2024, Vol. 43 Issue 8, p1-13. 13p.
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  Data: Modeling contact between deformable solids is a fundamental problem in computer animation, mechanical design, and robotics. Existing methods based on C0‐discretizations—piece‐wise linear or polynomial surfaces—suffer from discontinuities and irregularities in tangential contact forces, which can significantly affect simulation outcomes and even prevent convergence. In this work, we show that these limitations can be overcome with a smooth surface representation based on Implicit Moving Least Squares (IMLS). In particular, we propose a self collision detection scheme tailored to IMLS surfaces that enables robust and efficient handling of challenging self contacts. Through a series of test cases, we show that our approach offers advantages over existing methods in terms of accuracy and robustness for both forward and inverse problems. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1111/cgf.15187
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      – Code: eng
        Text: English
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        PageCount: 13
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        Type: general
      – SubjectFull: Tangential force
        Type: general
      – SubjectFull: Inverse problems
        Type: general
      – SubjectFull: Least squares
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      – SubjectFull: Self
        Type: general
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      – TitleFull: Robust and Artefact‐Free Deformable Contact with Smooth Surface Representations.
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            – D: 01
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
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