We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Visual Reconstructability as a Quality Metric for Flow Visualization.
- Authors
Jänicke, Heike; Weidner, Thomas; Chung, David; Laramee, Robert S.; Townsend, Peter; Chen, Min
- Abstract
We present a novel approach for the evaluation of 2D flow visualizations based on the visual reconstructability of the input vector fields. According to this metric, a visualization has high quality if the underlying data can be reliably reconstructed from the image. This approach provides visualization creators with a cost-effective means to assess the quality of visualization results objectively. We present a vision-based reconstruction system for the three most commonly-used visual representations of vector fields, namely streamlines, arrow glyphs, and line integral convolution. To demonstrate the use of visual reconstructability as a quality metric, we consider a selection of vector fields obtained from numerical simulations, containing typical flow features. We apply the three types of visualization to each dataset, and compare the visualization results based on their visual reconstructability of the original vector field.
- Subjects
FLOW visualization; VECTOR fields; VECTOR analysis; FLUID dynamics; IMAGE analysis
- Publication
Computer Graphics Forum, 2011, Vol 30, Issue 3, p781
- ISSN
0167-7055
- Publication type
Article
- DOI
10.1111/j.1467-8659.2011.01927.x