The visual display of quantitative information
The visual display of quantitative information
Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
Spot noise texture synthesis for data visualization
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Orderable dimensions of visual texture for data display: orientation, size and contrast
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Imaging vector fields using line integral convolution
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Periodicity, Directionality, and Randomness: Wold Features for Image Modeling and Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Building perceptual textures to visualize multidimensional datasets
Proceedings of the conference on Visualization '98
Proceedings of the conference on Visualization '98
Large Datasets at a Glance: Combining Textures and Colors in Scientific Visualization
IEEE Transactions on Visualization and Computer Graphics
Harnessing Natural Textures for Multivariate Visualization
IEEE Computer Graphics and Applications
Cushion Treemaps: Visualization of Hierarchical Information
INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
Towards a texture naming system: identifying relevant dimensions of texture
VIS '93 Proceedings of the 4th conference on Visualization '93
Information Visualization: Perception for Design
Information Visualization: Perception for Design
Towards a model human cochlea: sensory substitution for crossmodal audio-tactile displays
GI '08 Proceedings of graphics interface 2008
A high performance visual profiler for games
Proceedings of the 2009 ACM SIGGRAPH Symposium on Video Games
Procedural Texture Synthesis for Zoom-Independent Visualization of Multivariate Data
Computer Graphics Forum
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Color is routinely used to visualize interval and ordinal data, while texture is not. For color, a variety of perceptually based models is available, which can be used to convey data via straightforward mapping. The dimensionality of texture is less well understood and there are almost no perceptually based and validated models available to generate textures on demand. We present a perceptually based texture synthesis model for isotropic textures. The model uses additive synthesis of band-limited noise in the spectral domain, comparable to the RGB (red, green, blue) model for color. Via user experiments, we have derived a three-dimensional model to control the amplitudes per band in a perceptually intuitive way, comparable to the HSV (hue, saturation, value) model for color. The three dimensions used are contrast, spatial frequency, and spectral purity. Besides a mapping to the amplitudes, we have derived a mapping to a perceptually equidistant space. We show how such textures can be combined with color; applications are presented.