| dc.contributor.author | Hofmann, Lutz | en_US |
| dc.contributor.author | Sadlo, Filip | en_US |
| dc.contributor.editor | Gleicher, Michael and Viola, Ivan and Leitte, Heike | en_US |
| dc.date.accessioned | 2019-06-02T18:27:41Z | |
| dc.date.available | 2019-06-02T18:27:41Z | |
| dc.date.issued | 2019 | |
| dc.identifier.issn | 1467-8659 | |
| dc.identifier.uri | https://doi.org/10.1111/cgf.13687 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.1111/cgf13687 | |
| dc.description.abstract | In this paper, we generalize the parallel vectors operator due to Peikert and Roth to arbitrary dimension, i.e., to four-dimensional fields and beyond. Whereas the original operator tested for parallelism of two (derived) 2D or 3D vector fields, we reformulate the concept in terms of linear dependency of sets of vector fields, and propose a generic technique to extract and filter the solution manifolds.We exemplify our approach for vortex cores, bifurcations, and ridges as well as valleys in higher dimensions. | en_US |
| dc.publisher | The Eurographics Association and John Wiley & Sons Ltd. | en_US |
| dc.subject | Human | |
| dc.subject | centered computing → Visualization techniques | |
| dc.subject | Applied computing → Mathematics and statistics | |
| dc.title | The Dependent Vectors Operator | en_US |
| dc.description.seriesinformation | Computer Graphics Forum | |
| dc.description.sectionheaders | Vectors and Features | |
| dc.description.volume | 38 | |
| dc.description.number | 3 | |
| dc.identifier.doi | 10.1111/cgf.13687 | |
| dc.identifier.pages | 261-272 | |
