Combining Perception and Impressionist Techniques for Nonphotorealistic Visualization of Multidimensional Data
Christopher G. Healey.
In SIGGRAPH 2001 Course 32, ACM, Nonphotorealistic Rendering in Scientific Visualization, pp. 20--52, Los Angeles, California,
2001. [BibTeX]
Engaging viewers through nonphotorealistic visualizations
Laura Tateosian, Christopher G. Healey, James T. Enns.
NPAR '07: Proceedings of the 5th international symposium on Non-photorealistic animation and rendering, pp. 93--102, New York, NY, USA, ACM,
2007. [BibTeX]
Formalizing Artistic Techniques and Scientific Visualization for Painted Renditions of Complex Information Spaces
Christopher G. Healey.
International Joint Conference on Artifical Intelligence 2001, pp. 371--376, Seattle, Washington,
2001. [BibTeX]
Perception and painting: a search for effective, engaging visualizations
Christopher G. Healey, James T. Enns.
IEEE Computer Graphics and Applications, Vol. 22, No. 2, pp. 10--15, March-April,
2002. [BibTeX]
Perceptually based brush strokes for nonphotorealistic visualization
Author(s): Christopher G. Healey, Laura Tateosian, James T. Enns, Mark Remple.
Article: ACM Transactions on Graphics, Vol. 23, No. 1, pp. 64--96, January,
2004.
[BibTeX]
Abstract:
An important problem in the area of computer graphics is the visualization of large, complex information spaces. Datasets of this type have grown rapidly in recent years, both in number and in size. Images of the data stored in these collections must support rapid and accurate exploration and analysis. This article presents a method for constructing visualizations that are both effective and aesthetic. Our approach uses techniques from master paintings and human perception to visualize a multidimensional dataset. Individual data elements are drawn with one or more brush strokes that vary their appearance to represent the element's attribute values. The result is a nonphotorealistic visualization of information stored in the dataset. Our research extends existing glyph-based and nonphotorealistic techniques by applying perceptual guidelines to build an effective representation of the underlying data. The nonphotorealistic properties the strokes employ are selected from studies of the history and theory of Impressionist art. We show that these properties are similar to visual features that are detected by the low-level human visual system. This correspondence allows us to manage the strokes to produce perceptually salient visualizations. Psychophysical experiments confirm a strong relationship between the expressive power of our nonphotorealistic properties and previous findings on the use of perceptual color and texture patterns for data display. Results from these studies are used to produce effective nonphotorealistic visualizations. We conclude by applying our techniques to a large, multidimensional weather dataset to demonstrate their viability in a practical, real-world setting.
Realism, expressionism, and abstraction: applying art techniques to visualization
Theresa Marie Rhyne, David H. Laidlaw, Victoria Interrante, Christopher G. Healey, D.J. Duke.
Proceedings of the conference on Visualization '01, pp. 523--526,
2001. [BibTeX]