Carr, HA orcid.org/0000-0001-6739-0283, Geng, Z, Tierny, J et al. (2 more authors) (2015) Fiber surfaces: generalizing isosurfaces to bivariate data. Computer Graphics Forum, 34 (3). pp. 241-250. ISSN 0167-7055
Abstract
Scientific visualization has many effective methods for examining and exploring scalar and vector fields, but rather fewer for bivariate fields. We report the first general purpose approach for the interactive extraction of geometric separating surfaces in bivariate fields. This method is based on fiber surfaces: surfaces constructed from sets of fibers, the multivariate analogues of isolines. We show simple methods for fiber surface definition and extraction. In particular, we show a simple and efficient fiber surface extraction algorithm based on Marching Cubes. We also show how to construct fiber surfaces interactively with geometric primitives in the range of the function. We then extend this to build user interfaces that generate parameterized families of fiber surfaces with respect to arbitrary polygons. In the special case of isovalue-gradient plots, fiber surfaces capture features geometrically for quantitative analysis that have previously only been analysed visually and qualitatively using multi-dimensional transfer functions in volume rendering. We also demonstrate fiber surface extraction on a variety of bivariate data.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 The Author(s) Computer Graphics Forum © 2015 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. This is the peer reviewed version of the following article: Carr, H., Geng, Z., Tierny, J., Chattopadhyay, A. and Knoll, A. (2015), Fiber Surfaces: Generalizing Isosurfaces to Bivariate Data. Computer Graphics Forum, 34: 241–250. doi: 10.1111/cgf.12636, which has been published in final form at http://dx.doi.org/10.1111/cgf.12636. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/J013072/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Sep 2015 08:59 |
Last Modified: | 20 Jun 2021 08:37 |
Published Version: | http://dx.doi.org/10.1111/cgf.12636 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1111/cgf.12636 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:86871 |