Arian Etemadi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Arian Etemadi has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Aleksei Kalinov
Institute of Science and Technology Austria, Klosterneuburg, Austria
1 shared publication - Chris Wojtan
Institute of Science and Technology Austria, Klosterneuburg, Austria
1 shared publication - Huidong Yang
Faculty of Mathematics Doppler Laboratory for Mathematical Mod- eling and Simulation of Next Generations of Ultrasound Devices (MaMSi) University of Vienna Oskar-Morgenstern- Platz 1 A-1090 Wien Austria
1 shared publication - Malina Strugaru
ISTA (Institute of Science and Technology Austria), Klosterneuburg, Austria
1 shared publication - Peter Heiss-Synak
ISTA (Institute of Science and Technology Austria), Klosterneuburg, Austria
1 shared publication
Latest Publications
- Open Access
- 19 July 2024
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Graphics
- Vol. 43 (4) , 1-14
Multi-Material Mesh-Based Surface Tracking with Implicit Topology Changes
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.
- 19 July 2024
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Graphics
- Vol. 43 (4) , 1-14
Open AccessMulti-Material Mesh-Based Surface Tracking with Implicit Topology Changes
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.