View-Dependent Streamlines for 3D Vector Fields

Stephane Marchesin, Cheng-Kai Chen, Chris Ho, Kwan-Liu Ma
University of California, Davis, CA, USA
IEEE Transactions on Visualization and Computer Graphics, 2010


   title={View-Dependent Streamlines for 3D Vector Fields},

   author={Marchesin, S. and Chen, C.K. and Ho, C. and Ma, K.L.},

   journal={IEEE Transactions on Visualization and Computer Graphics},





   publisher={Institute of Electrical and Electronics Engineers, Inc., 3 Park Avenue, 17 th Fl New York NY 10016-5997 USA}


Download Download (PDF)   View View   Source Source   



This paper introduces a new streamline placement and selection algorithm for 3D vector fields. Instead of considering the problem as a simple feature search in data space, we base our work on the observation that most streamline fields generate a lot of self-occlusion which prevents proper visualization. In order to avoid this issue, we approach the problem in a view-dependent fashion and dynamically determine a set of streamlines which contributes to data understanding without cluttering the view. Since our technique couples flow characteristic criteria and view-dependent streamline selection we are able achieve the best of both worlds: relevant flow description and intelligible, uncluttered pictures. We detail an efficient GPU implementation of our algorithm, show comprehensive visual results on multiple datasets and compare our method with existing flow depiction techniques. Our results show that our technique greatly improves the readability of streamline visualizations on different datasets without requiring user intervention.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2020 hgpu.org

All rights belong to the respective authors

Contact us: