Non-Photorealistic Computer Graphics Library

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Found 5 item(s) authored by "David H. Laidlaw" .

Article Artistic Collaboration in Designing VR Visualizations
Daniel F. Keefe, David B. Karelitz, Eileen L. Vote, David H. Laidlaw.
IEEE Computer Graphics and Applications, Vol. 25, No. 2, pp. 18--23, March/April, 2005. [BibTeX]

Proceedings CavePainting: A Fully Immersive 3D Artistic Medium and Interactive Experience
Daniel F. Keefe, Daniel Acevedo Feliz, Tomer Moscovich, David H. Laidlaw, Joseph J. LaViola Jr..
Proceedings of 2001 Symposium on Interactive 3D Graphics, 2001. [BibTeX]

Proceedings 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]

In Book Visualization Handbook

Author(s): R. Michael Kirby, Daniel F. Keefe, David H. Laidlaw.
In Book: Charles D. Hansen and Christopher R. Johnson, Part XI: Selected Topics and Applications, Chapter 45. Painting and visualization, pp. 873--891, Academic Press, 2004.
[BibTeX] Find this paper on Google

Abstract:
Art, in particular painting, has had clear impacts on the style, techniques, and processes of scientific visualization. Artists strive to create visual forms and ideas that are evocative and convey meaning or tell a story. Over time, painters and other artists have developed sophisticated techniques, as well as a finely tuned aesthetic sense, to help accomplish their goals. As visualization researchers, we can learn from this body of work to improve our own visual representations. We can study artistic examples to learn what art works and what does not, we can study the visual design process to learn how to design better visualization artifacts, and we can study the pedagogy for training new designers and artists so we can better train visualization experts and better evaluate visualizations. The synergy between art and scientific visualization, whether manifested in collaborative teams, new painting-inspired visualization techniques, or new visualization methodologies, holds great potential for the advancement of scientific visualization and discovery.

Proceedings Visualizing Multivalued Data from 2D Incompressible Flows Using Concepts from Painting
Haralambos Marmanis, R. Michael Kirby, David H. Laidlaw.
Visualization 1999, 1999. [BibTeX]

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