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dc.contributor.authorHadwiger, Markus
dc.contributor.authorTheußl, Thomas
dc.contributor.authorRautek, Peter
dc.date.accessioned2023-02-02T12:17:53Z
dc.date.available2023-02-02T12:17:53Z
dc.date.issued2023-01-31
dc.identifier.citationHadwiger, 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.doi10.1145/3550495.3558227
dc.identifier.urihttp://hdl.handle.net/10754/687453
dc.description.abstractThis 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.publisherACM
dc.relation.urlhttps://dl.acm.org/doi/10.1145/3550495.3558227
dc.rightsThis is an accepted manuscript version of a paper before final publisher editing and formatting. Archived with thanks to ACM.
dc.titleRiemannian Geometry for Scientific Visualization
dc.typeConference Paper
dc.contributor.departmentComputer Science Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.contributor.departmentKAUST Visualization Laboratory (KVL)
dc.conference.dateDecember 6 - 9, 2022
dc.conference.nameSIGGRAPH Asia '22: ACM SIGGRAPH Asia 2022 Courses
dc.conference.locationDaegu Republic of Korea
dc.eprint.versionPost-print
kaust.personHadwiger, Markus
kaust.personTheußl, Thomas
kaust.personRautek, Peter
refterms.dateFOA2023-02-02T12:49:43Z


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