A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Imaging vector fields using line integral convolution
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Data level comparison of wind tunnel and computational fluid dynamics data
Proceedings of the conference on Visualization '98
Structured spatial domain image and data comparison metrics
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Computer Vision
Quantitative comparative evaluation of 2D vector field visualization methods
Proceedings of the conference on Visualization '01
Comparative evaluation of visualization and experimental results using image comparison metrics
Proceedings of the conference on Visualization '02
A New Line Integral Convolution Algorithm for Visualizing Time-Varying Flow Fields
IEEE Transactions on Visualization and Computer Graphics
Studies in Comparative Visualization of Flow Features
Scientific Visualization, Overviews, Methodologies, and Techniques
User Studies: Why, How, and When?
IEEE Computer Graphics and Applications
Reverse Engineering the Human Vision System: A Possible Explanation for the Role of Microsaccades
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Comparative Flow Visualization
IEEE Transactions on Visualization and Computer Graphics
Comparing 2D Vector Field Visualization Methods: A User Study
IEEE Transactions on Visualization and Computer Graphics
3D contour perception for flow visualization
APGV '06 Proceedings of the 3rd symposium on Applied perception in graphics and visualization
Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization
Measuring Data Abstraction Quality in Multiresolution Visualizations
IEEE Transactions on Visualization and Computer Graphics
Similarity-Guided Streamline Placement with Error Evaluation
IEEE Transactions on Visualization and Computer Graphics
Measuring Aesthetics for Information Visualization
IV '09 Proceedings of the 2009 13th International Conference Information Visualisation
Comparing 3D Vector Field Visualization Methods: A User Study
IEEE Transactions on Visualization and Computer Graphics
Neural modeling of flow rendering effectiveness
ACM Transactions on Applied Perception (TAP)
An Information-Theoretic Framework for Flow Visualization
IEEE Transactions on Visualization and Computer Graphics
Digital Image Processing
Evaluation of illustration-inspired techniques for time-varying data visualization
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
A salience-based quality metric for visualization
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Vector field k-means: clustering trajectories by fitting multiple vector fields
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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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.