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

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Bibliographic Details
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]
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Database: Engineering Source
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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]
ISSN:01677055
DOI:10.1111/cgf.15187