Cartoon-Looking Rendering of 3D-Scenes
Philippe Decaudin.
INRIA, Universite de Technologie de Compiegne, No. 2919, France, June,
1996. [BibTeX]
Computer-Generated Pen-and-Ink Illustration
George Winkenbach, David H. Salesin.
Department of Computer Science & Engineering, No. 94-01-08b, University of Washington, Seattle, WA 98195, 23 June,
1994. [BibTeX]
Creating High Quality Hatching Illustrations
Johannes Zander, Tobias Isenberg, Stefan Schlechtweg, Thomas Strothotte.
Department of Computer Science, Otto-von-Guericke University of Magdeburg, No. 12/2004, Germany,
2004. [BibTeX]
Dynamics by Hybrid Combination of Photorealistic and Non-Photorealistic Rendering Styles
Roland Jesse, Tobias Isenberg, Bernd Nettelbeck, Thomas Strothotte.
Department of Computer Science, University of Magdeburg, No. 5/2004, Germany,
2004. [BibTeX]
Expressive Distortion of Strokes and 3D Meshes
Petra Neumann, Tobias Isenberg, M. Sheelagh T. Carpendale, Thomas Strothotte.
Department of Computer Science, University of Calgary, No. Technical Report 2005-776-07, Canada, March,
2005. [BibTeX]
Fast Visualization of Object Contours by Non-Photorealistic Volume Rendering
Author(s): Balázs Csébfalvi, Lukas Mroz, Helwig Hauser, Andreas König, M. Eduard Gröller.
Technical Report:
2001.
[BibTeX]
Abstract:
In this paper we present a fast visualization technique for volumetric data, which is based on a recent nonphotorealistic rendering technique. Our new approach enables alternative insights into 3D data-sets (compared to traditional approaches such as direct volume rendering or iso-surface rendering). Object contours, which usually are characterized by locally high gradient values, are visualized regardless of their density values. Cumbersome tuning of transfer functions, as usually needed for setting up DVR views, for example, is avoided. Instead, a small number of parameters is available to adjust the non-photorealistic display. Based on the magnitude of local gradient information as well as on the angle between viewing direction and gradient vector, data-values are mapped to visual properties (color, opacity), which then are combined to form the rendered image (MIP is proposed as the default compositing stragtegy here). Due to the fast implementation of this alternative rendering approach, it is possible to interactively investigate the 3D data, and quickly learn about internal structures. Several further extensions of our new approach, such as level lines are also presented in this paper.
G-Strokes: A Concept for Simplifying Line Stylization
Tobias Isenberg, Angela Brennecke.
Department of Computer Science, University of Calgary, No. 2005-780-11, Canada, April,
2005. [BibTeX]
Genetic Painting: A Salience Adaptive Relaxation Technique for Painterly Rendering
John P. Collomosse, Peter M. Hall.
University of Bath, No. CSBU-2003-02, UK, October,
2004. [BibTeX]
Harnessing Real-World Depth Edges with Multiflash Imaging
Kar-han Tan, Rogerio Feris, Matthew Turk, J. Kobler, Jingyi Yu, Ramesh Raskar.
MERL (Mitsubishi Electric Research Laboratories, No. TR2005-067, December,
2005. [BibTeX]
Interleaved Dimension Decomposition
Manfred Kopp, Werner Purgathofer.
Institute of Computer Graphics and Algorithms, Vienna University of Technology, No. TR-186-2-98-03, A-1040 Karlsplatz 13/186/2, January,
1998. [BibTeX]