Fiber surfaces: generalizing isosurfaces to bivariate data
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- UOA11-2391
- Type
- D - Journal article
- DOI
-
10.1111/cgf.12636
- Title of journal
- Computer Graphics Forum
- Article number
- -
- First page
- 241
- Volume
- 34
- Issue
- 3
- ISSN
- 0167-7055
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
D - CSE (Computational Science and Engineering)
- Citation count
- 17
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Scientific visualisation had limited tools for bivariate and multivariate data. This collaboration with UPMC-6 Paris and Utah gave the first geometric extraction method for visualising surfaces in bivariate data, underpinning an award-winning paper(10.1109/TVCG.2016.2599017) and two other significant publications by Carr (10.1109/TVCG.2016.2599040, 10.1109/TVCG.2016.2570215). This was extended and applied by others to tensor fields (10.1109/TVCG.2018.2864846), geology and climate research(10.1111/cgf.13983), multivariate data(10.1109/TVCG.2018.2867488), and chemical analysis(10.1080/00268976.2015.1123777). It is now part of the industry-standard Visualization Toolkit (vtk: https://www.vtk.org), and the Topological Toolkit(https://topology-tool-kit.github.io/index.html) adds it to the standard ParaView(www.paraview.org) visualisation application.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
