Riemannian Geometry for Scientific Visualization
dc.contributor.author | Hadwiger, Markus | |
dc.contributor.author | Theußl, Thomas | |
dc.contributor.author | Rautek, Peter | |
dc.date.accessioned | 2023-02-02T12:17:53Z | |
dc.date.available | 2023-02-02T12:17:53Z | |
dc.date.issued | 2023-01-31 | |
dc.identifier.citation | Hadwiger, M., Theußl, T., & Rautek, P. (2022). Riemannian Geometry for Scientific Visualization. ACM SIGGRAPH Asia 2022 Courses. https://doi.org/10.1145/3550495.3558227 | |
dc.identifier.doi | 10.1145/3550495.3558227 | |
dc.identifier.uri | http://hdl.handle.net/10754/687453 | |
dc.description.abstract | This tutorial introduces the most important basics of Riemannian geometry and related concepts with a specific focus on applications in scientific visualization. The main concept in Riemannian geometry is the presence of a Riemannian metric on a differentiable manifold, comprising a second-order tensor field that defines an inner product in each tangent space that varies smoothly from point to point. Technically, the metric is what allows defining and computing distances and angles in a coordinate-independent manner. However, even more importantly, it in a sense is really the major structure (on top of topological considerations) that defines the space where scientific data, such as scalar, vector, and tensor fields live. | |
dc.publisher | ACM | |
dc.relation.url | https://dl.acm.org/doi/10.1145/3550495.3558227 | |
dc.rights | This is an accepted manuscript version of a paper before final publisher editing and formatting. Archived with thanks to ACM. | |
dc.title | Riemannian Geometry for Scientific Visualization | |
dc.type | Conference Paper | |
dc.contributor.department | Computer Science Program | |
dc.contributor.department | Visual Computing Center (VCC) | |
dc.contributor.department | Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division | |
dc.contributor.department | KAUST Visualization Laboratory (KVL) | |
dc.conference.date | December 6 - 9, 2022 | |
dc.conference.name | SIGGRAPH Asia '22: ACM SIGGRAPH Asia 2022 Courses | |
dc.conference.location | Daegu Republic of Korea | |
dc.eprint.version | Post-print | |
kaust.person | Hadwiger, Markus | |
kaust.person | Theußl, Thomas | |
kaust.person | Rautek, Peter | |
refterms.dateFOA | 2023-02-02T12:49:43Z |
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Conference Papers
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Computer Science Program
For more information visit: https://cemse.kaust.edu.sa/cs -
Visual Computing Center (VCC)
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KAUST Visualization Laboratory (KVL)
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Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
For more information visit: https://cemse.kaust.edu.sa/