Non-Photorealistic Computer Graphics Library

[ home · search · about · links · contact · rss ] [ submit bibtex ] [ BookCite · NPR Books ]

User:

Pass:

Found 7 item(s) of type "In Book".

In Book A Non-photorealistic Rendering of Seurat's Pointillism
Hui-Lin Yang, Chuan-Kai Yang.
Advances in Visual Computing, pp. 760--769, Springer Berlin / Heidelberg, Vol. 4292/2006, Lecture Notes in Computer Science, Berlin, 2006. [BibTeX]

In Book Game Programming Gems 4
Bert Freudenberg, Maic Masuch, Thomas Strothotte.
Andrew Kirmse, Real-Time Halftoning: Fast and Simple Stylized Shading, pp. 443--440, Charles River Media, 2004. [BibTeX]

In Book GPU Gems II: Programming Techniques for High Performance Graphics and General-Purpose Computation
Marc Nienhaus, Jürgen Döllner.
M. Pharr, Blueprint Rendering and Sketchy Drawings, pp. 235--252, Addison-Wesley Professional, 2005. [BibTeX]

In Book Hatching, Stroke Styles & Pointillism
Kevin Buchin, Maike Walther.
Wolfgang Engel, Rendering Techniques, pp. 340--347, Wordware Publishing, Vol. ShaderX2 - Shader Tips and Tricks, September, 2003. [BibTeX]

In Book Non-Photorealistic Postprocessing Filters in MotoGP 2
Shawn Hargreaves.
Wolfgang Engel, Image Space, Wordware Publisher, Vol. ShaderX2 - Shader Tips and Tricks, September, 2003. [BibTeX]

In Book OpenGL Shading Language
Randi J. Rost, Bill Licea-Kane.
Chapter 18 - Non-photorealistic Shaders, pp. 507--532, Addison-Wesley, 3rd, 2009. [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.

Visitors: 188930