Spot noise texture synthesis for data visualization
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Using visual texture for information display
ACM Transactions on Graphics (TOG)
Useful properties of Semantic Depth of Field for better F+C visualization
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Perceptually based brush strokes for nonphotorealistic visualization
ACM Transactions on Graphics (TOG)
Information Visualization: Perception for Design
Information Visualization: Perception for Design
Effectively Visualizing Multi-Valued Flow Data using Color and Texture
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Compositing color with texture for multi-variate visualization
GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Natural Textures for Weather Data Visualization
IV '06 Proceedings of the conference on Information Visualization
IEEE Transactions on Visualization and Computer Graphics
A perceptually based spectral model for isotropic textures
ACM Transactions on Applied Perception (TAP)
Attribute Blocks: Visualizing Multiple Continuously Defined Attributes
IEEE Computer Graphics and Applications
Procedural noise using sparse Gabor convolution
ACM SIGGRAPH 2009 papers
ACM SIGGRAPH 2011 papers
Directing attention and influencing memory with visual saliency modulation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
IEEE Transactions on Visualization and Computer Graphics
Visualization of uncertain scalar data fields using color scales and perceptually adapted noise
Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization
Visualizing multiple fields on the same surface
IEEE Computer Graphics and Applications
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Simultaneous visualization of multiple continuous data attributes in a single visualization is a task that is important for many application areas. Unsurprisingly, many methods have been proposed to solve this task. However, the behavior of such methods during the exploration stage, when the user tries to understand the data with panning and zooming, has not been given much attention. In this paper, we propose a method that uses procedural texture synthesis to create zoom-independent visualizations of three scalar data attributes. The method is based on random-phase Gabor noise, whose frequency is adapted for the visualization of the first data attribute. We ensure that the resulting texture frequency lies in the range that is perceived well by the human visual system at any zoom level. To enhance the perception of this attribute, we also apply a specially constructed transfer function that is based on statistical properties of the noise. Additionally, the transfer function is constructed in a way that it does not introduce any aliasing to the texture. We map the second attribute to the texture orientation. The third attribute is color coded and combined with the texture by modifying the value component of the HSV color model. The necessary contrast needed for texture and color perception was determined in a user study. In addition, we conducted a second user study that shows significant advantages of our method over current methods with similar goals. We believe that our method is an important step towards creating methods that not only succeed in visualizing multiple data attributes, but also adapt to the behavior of the user during the data exploration stage. © 2012 Wiley Periodicals, Inc.