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
Christopher G. Healey, Laura Tateosian, James T. Enns, Mark Remple.
ACM Transactions on Graphics, Vol. 23, No. 1, pp. 64--96, January,
2004. [BibTeX]
Realism, expressionism, and abstraction: applying art techniques to visualization
Author(s): Theresa Marie Rhyne, David H. Laidlaw, Victoria Interrante, Christopher G. Healey, D.J. Duke.
Proceedings: Proceedings of the conference on Visualization '01, pp. 523--526,
2001.
[BibTeX]
Abstract:
The visualization and computer graphics communities have recently become fascinated with the application of artistic techniques to three dimensional computer generated imagery. These are sometimes called non-photo realistic rendering techniques. This raises the key issue of when is it appropriate to apply realism, expressionism, and abstraction points of views to scientific and information visualization? What additional insights are gained from overlapping these approaches? The eye, the emotions, and the intellect all share in the process of creating and exploring visual art forms, including computer generated imagery. This panel examines a few non-photo realistic rendering approaches and highlights the impact these methods have on gaining insight from the resulting scientific and information visualizations.