Physically Based Shape Matching

Müller, Matthias; Macklin, Miles; Chentanez, Nuttapong; Jeschke, Stefan

Physically Based Shape Matching

Files

cgf.14618-v41i8pp001-007.pdf (11.29 MB)

sca_2022_supplementalmaterial_0864.mp4 (165.24 MB)

v41i8pp001-007.pdf (11.2 MB)

Date

2022

Authors

Müller, Matthias
Macklin, Miles
Chentanez, Nuttapong
Jeschke, Stefan

Publisher

The Eurographics Association and John Wiley & Sons Ltd.

Abstract

The shape matching method is a popular approach to simulate deformable objects in interactive applications due to its stability and simplicity. An important feature is that there is no need for a mesh since the method works on arbitrary local groups within a set of particles. A major drawback of shape matching is the fact that it is geometrically motivated and not derived from physical principles which makes calibration difficult. The fact that the method does not conserve volume can yield visual artifacts, e.g. when a tire is compressed but does not bulge. In this paper we present a new meshless simulation method that is related to shape matching but derived from continuous constitutive models. Volume conservation and stiffness can be specified with physical parameters. Further, if the elements of a tetrahedral mesh are used as groups, our method perfectly reproduces FEM based simulations.

CCS Concepts: Computing methodologies --> Physical simulation

        @article{10.1111:cgf.14618
,
journal = {Computer Graphics Forum},
title = {{Physically Based Shape Matching
}},
author = {Müller, Matthias and 
Macklin, Miles and 
Chentanez, Nuttapong and 
Jeschke, Stefan
},
year = {2022
},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.
},
ISSN = {1467-8659
},
DOI = {10.1111/cgf.14618
}
}