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Multi-Material Mesh-Based Surface Tracking with Implicit Topology Changes

ORAL

Abstract

We introduce a multi-material non-manifold mesh-based surface tracking algorithm that converts self-intersections into topological changes. Our algorithm generalizes prior work on manifold surface tracking with topological changes: it preserves surface features like mesh-based methods, and it robustly handles topological changes like level set methods. Our method also offers improved efficiency and robustness over the state of the art. We demonstrate the effectiveness of the approach on a range of examples, including complex soap film simulations with thousands of interacting bubbles, and boolean unions of non-manifold meshes consisting of millions of triangles.

Publication: Peter Heiss-Synak, Aleksei Kalinov, Malina Strugaru, Arian Etemadi, Huidong Yang, and Chris Wojtan. 2024. Multi-Material Mesh-Based Surface Tracking with Implicit Topology Changes. ACM Trans. Graph. 43, 4, Article 54 (July 2024), 14 pages. https://doi.org/10.1145/3658223

Presenters

  • Aleksei Kalinov

    Institute of Science and Technology Austria

Authors

  • Aleksei Kalinov

    Institute of Science and Technology Austria

  • Peter Heiss-Synak

    Institute of Science and Technology Austria

  • Malina Strugaru

    Institute of Science and Technology Austria

  • Arian Etemadi

    Institute of Science and Technology Austria

  • Huidong Yang

    University of Vienna

  • Chris Wojtan

    Institute of Science and Technology Austria