Information
- Publication Type: Bachelor Thesis
- Workgroup(s)/Project(s):
- Date: May 2019
- Date (Start): 2. November 2018
- Date (End): 29. May 2019
- Matrikelnummer: 01525071
- First Supervisor: Eduard Gröller
Abstract
Climate researchers often use simulations to generate 2D vector fields of wind or ocean currents. They need visualization tools to validate and further improve their research. In this work, we present a framework that is capable of visualizing unsteady 2D flow fields on curved surfaces. An important property of our framework is that it works intrinsically in 2D, instead of in 3D ambient space. Our primary example is the visualization of 2D geophysical flow on the 2-sphere. We build on methods from differential geometry to compute line integral convolution and path lines intrinsically on curved surfaces. While line integral convolution provides an overview of one time step of an unsteady flow field, path lines give us a more detailed insight into an unsteady flow field. We animate the line integral convolution images and the path lines to show the direction of the flow. Furthermore, we illuminate the path lines to improve spatial perception. Our visualizations are all computed in real time and can be used interactively.Additional Files and Images
Weblinks
- Youtube: Flow Visualization on Curved Manifolds
Flow Visualization on Curved Manifolds
BibTeX
@bachelorsthesis{Troidl_2019, title = "Flow Visualization on Curved Manifolds", author = "Troidl Jakob", year = "2019", abstract = "Climate researchers often use simulations to generate 2D vector fields of wind or ocean currents. They need visualization tools to validate and further improve their research. In this work, we present a framework that is capable of visualizing unsteady 2D flow fields on curved surfaces. An important property of our framework is that it works intrinsically in 2D, instead of in 3D ambient space. Our primary example is the visualization of 2D geophysical flow on the 2-sphere. We build on methods from differential geometry to compute line integral convolution and path lines intrinsically on curved surfaces. While line integral convolution provides an overview of one time step of an unsteady flow field, path lines give us a more detailed insight into an unsteady flow field. We animate the line integral convolution images and the path lines to show the direction of the flow. Furthermore, we illuminate the path lines to improve spatial perception. Our visualizations are all computed in real time and can be used interactively.", month = may, address = "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria", school = "Research Unit of Computer Graphics, Institute of Visual Computing and Human-Centered Technology, Faculty of Informatics, TU Wien ", URL = "https://www.cg.tuwien.ac.at/research/publications/2019/Troidl_2019/", }