Journal
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
Volume 16, Issue 6, Pages 1578-1586Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TVCG.2010.212
Keywords
Streamlines; Vector fields; View-dependent
Categories
Funding
- U.S. National Science Foundation [OCI-0749227, OCI-0749217, OCI-00905008, OCI-0850566, OCI-0325934]
- U.S. Department of Energy [DE-FC02-06ER25777, DE-FG02-08ER54956]
- Direct For Computer & Info Scie & Enginr [0811422, 0905008] Funding Source: National Science Foundation
- Division of Computing and Communication Foundations [0811422] Funding Source: National Science Foundation
- Office of Advanced Cyberinfrastructure (OAC) [0905008] Funding Source: National Science Foundation
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available