Wu, K, Knoll, A, Isaac, BJ et al. (2 more authors) (2017) Direct Multifield Volume Ray Casting of Fiber Surfaces. IEEE Transactions on Visualization and Computer Graphics, 23 (1). pp. 941-949. ISSN 1077-2626
Abstract
Multifield data are common in visualization. However, reducing these data to comprehensible geometry is a challenging problem. Fiber surfaces, an analogy of isosurfaces to bivariate volume data, are a promising new mechanism for understanding multifield volumes. In this work, we explore direct ray casting of fiber surfaces from volume data without any explicit geometry extraction. We sample directly along rays in domain space, and perform geometric tests in range space where fibers are defined, using a signed distance field derived from the control polygons. Our method requires little preprocess, and enables real-time exploration of data, dynamic modification and pixel-exact rendering of fiber surfaces, and support for higher-order interpolation in domain space. We demonstrate this approach on several bivariate datasets, including analysis of multi-field combustion data.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
Keywords: | Multidimensional Data, Volume Rendering, Isosurface; Isosurfaces, Rendering (computer graphics), Casting, Power capacitors, Aerospace electronics, Acceleration, Transfer functions |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/J013072/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Aug 2016 15:07 |
Last Modified: | 11 Sep 2019 16:12 |
Published Version: | https://dx.doi.org/10.1109/TVCG.2016.2599040 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Identification Number: | 10.1109/TVCG.2016.2599040 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:103601 |