The computer scientist as toolsmith II
Communications of the ACM
Visualizing diffusion tensor images of the mouse spinal cord
Proceedings of the conference on Visualization '98
Visualizing multivalued data from 2D incompressible flows using concepts from painting
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Harnessing Natural Textures for Multivariate Visualization
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications
Perception and Painting: A Search for Effective, Engaging Visualizations
IEEE Computer Graphics and Applications
Perceptually based brush strokes for nonphotorealistic visualization
ACM Transactions on Graphics (TOG)
Cartoon rendering of smoke animations
Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering
Visual interest and NPR: an evaluation and manifesto
Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering
Explanatory and Illustrative Visualization of Special and General Relativity
IEEE Transactions on Visualization and Computer Graphics
Subjective Quantification of Perceptual Interactions among some 2D Scientific Visualization Methods
IEEE Transactions on Visualization and Computer Graphics
Perceptually-motivated graphics, visualization and 3D displays
ACM SIGGRAPH 2010 Courses
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Through evolution, the human visual system has developed the ability to process natural textures. However, in addition to natural textures, humans also visually process man-made textures - some of the richest and most compelling of which are in works of art. Art goes beyond what perceptual psychologists understand about visual perception and there remain fundamental lessons that we can learn from art and art history that we can apply to our visualization problems. This article describes and illustrates some of the visualization lessons we have learned from studying art. I believe that these examples also illustrate some of the potential benefits of further study. While this approach is more open-ended than a perceptual psychology approach, both approaches are worthy of pursuit, and the potential benefits of using the less structured approach outweigh any risk of failure