Discrete multiscale vector field decomposition
- Other:
- Rockwood, Alyn P.
Abstract
While 2D and 3D vector fields are ubiquitous in computational sciences, their use in graphics is often limited to regular grids, where computations are easily handled through finite-difference methods. In this paper, we propose a set of simple and accurate tools for the analysis of 3D discrete vector fields on arbitrary tetrahedral grids. We introduce a variational, multiscale decomposition of vector fields into three intuitive components: a divergence-free part, a curl-free part, and a harmonic part. We show how our discrete approach matches its well-known smooth analog, called the Helmotz-Hodge decomposition, and that the resulting computational tools have very intuitive geometric interpretation. We demonstrate the versatility of these tools in a series of applications, ranging from data visualization to fluid and deformable object simulation.
Additional Information
© 2003 ACM. The authors are extremely grateful to Peter Schröder for support, Konrad Polthier for inspiration, Rüdiger Westerman for data, John McCorquodale for feedback, and Alain Bossavit and Melvin Leok for collaboration. This work was supported in part by the NSF (CCR-0133983, DMS-0221666, DMS-0221669, EEC-9529152).Additional details
- Eprint ID
- 73188
- DOI
- 10.1145/1201775.882290
- Resolver ID
- CaltechAUTHORS:20170103-154427060
- NSF
- CCR-0133983
- NSF
- DMS-0221666
- NSF
- DMS-0221669
- NSF
- EEC-9529152
- Created
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2017-01-04Created from EPrint's datestamp field
- Updated
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2021-11-11Created from EPrint's last_modified field