| Title: | Identifying linear vector fields on 2D manifolds |
| Authors: | Volke, Sebastian Koch, Stefan Hlawitschka, Mario |
| Citation: | WSCG 2016: full papers proceedings: 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 9-16. |
| Issue Date: | 2016 |
| Publisher: | Václav Skala - UNION Agency |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | wscg.zcu.cz/WSCG2016/!!_CSRN-2601.pdf http://hdl.handle.net/11025/29526 |
| ISBN: | 978-80-86943-57-2 |
| ISSN: | 2464–4617 (print) 2464–4625 (CD-ROM) |
| Keywords: | fyzikální vědy a inženýrství;vědy o životním prostředí;vektorové pole projekce;přibližování vektorových polí |
| Keywords in different language: | physical sciences and engineering;environmental sciences;vector field projection;vector field approximation |
| Abstract: | Local linearity of vector fields is a property that is well researched and understood. Linear approximation can be used to simplify algorithms or for data reduction. Whereas the concept is easy to implement in 2D and 3D, it loses meaning on manifolds as linearity has either to be defined based on an embedding in a higher-dimensional Cartesian space or on a map. We present an adaptive atlas-based vector field decomposition to solve the problem on manifolds and present its application on synthetic and climate data. |
| Rights: | © Václav Skala - UNION Agency |
| Appears in Collections: | WSCG 2016: Full Papers Proceedings |
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