The theme for the July/August 2003 issue of IEEE Computer Graphics and Applications is non-photorealistic rendering (NPR). While computer graphics has traditionally centered on the production of photorealistic images to depict 3D scenes, NPR investigates alternatives that leverage techniques developed over centuries by artists and illustrators to depict the world.

One goal of this research is to broaden the range of image styles that can be achieved and thereby embrace new applications. Furthermore, NPR has the potential to open a new line of attack on one of the central problems of 3D computer graphics today: content creation. This follows from the observation that realistic depiction of landscapes, human figures, and other natural scenes requires a vast amount of detail that must be painstakingly supplied. In contrast, artists and illustrators working on paper nearly always use abstraction and stylization to evoke the complexity of such scenes indirectly. The result can be much simpler -- and easier to produce -- than a photorealistic representation.

We invite papers describing innovative work that advances the field of NPR. Areas of interests include, but are not limited to:

• Simulation of natural media
• Traditional styles (pen & ink, comics, paintings, etc.)
• Traditional illustration effects
• Technical or medical illustration
• Natural scenes, e.g. plants, animals and humans
• Real-time NPR algorithms
• Animation and temporal coherence
• Handling levels of detail
• Interaction techniques for creating NPR scenes
• Interaction techniques for sketching, drawing and painting
• Object representations for NPR
• Integration of 2D and 3D methods
• Synthesizing NPR effects from examples

By Thursday (one day before the deadline) please send email to cga-npr@cs.princeton.edu containing:

• paper title
• author names and affiliations
• contact author: name, email address, and phone number
• abstract

By Friday at midnight, please send us the paper in PDF format, with the first author's last name in the file name (e.g. markosian.pdf). If the size of the file is smaller than 5MB, please email it to cga-npr@cs.princeton.edu. If it is larger, please upload it by anonymous ftp to this directory: ftp://ftp.cs.princeton.edu/incoming/cga-npr/. (Netscape and IE should allow you to open this URL and then drag a file into the window, or just use FTP directly.)

We will send mail confirming receipt of your submitted paper by Monday October 28.

Please direct any correspondence regarding this issue to Adam Finkelstein and Lee Markosian using the address: cga-npr@cs.princeton.edu.