Dynamic Canvas for Non-Photorealistic Walkthroughs
Matthieu Cunzi, Joëlle Thollot, Sylvain Paris, Gilles Debunne, Jean-Dominique Gascuel, Frédo Durand.
Graphics Interface (GI'03),
2003. [BibTeX]
Dynamic Glyphs - Depicting Dynamics in Images of 3D Scenes
Marc Nienhaus, Jürgen Döllner.
Proceedings of Third International Symposium on Smart Graphics, pp. 102--111, July,
2003. [BibTeX]
Edge-Enhancement – An Algorithm for Real-Time Non-Photorealistic Rendering
Marc Nienhaus, Jürgen Döllner.
11th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG),
2003. [BibTeX]
Effective toon ink rendering for episodic television
Gordon Farrell, Julia Taylor-Hell, F. David Fracchia.
Proceedings of the SIGGRAPH 2003, Sketches & applications,
2003. [BibTeX]
Fast Texture Transfer
Author(s): Michael Ashikhmin.
Article: IEEE Computer Graphics and Applications, pp. 38--43, July/August,
2003.
[BibTeX]
Abstract:
In many applications it’s useful to have the
ability to create a texture of arbitrary size
given a small input sample. Texture synthesis techniques
perform this operation. A texture transfer algorithm, on
the other hand, takes two images—the source texture
and the target image—as input. The algorithm modifies
the target image, replacing some
high-frequency information with
the source texture. Although synthesis
and transfer operations share
many of the same challenges, there
are significant differences. First, a
clear criterion of success exists in
texture synthesis: the result has to
look like the input. For texture transfer,
the degree of similarity with the
original target image is usually
adjusted based on user preferences.
The case of artistic style transfer is
probably the best illustration of this.
The definition of artistic style is subjective;
success in attaining this style
is a matter of personal preference.
Therefore, in a typical texture transfer
algorithm application, users
would take a trial-and-error
approach and experiment with different
parameter values.
Frame-Coherent 3D Stippling for Non-Photorealistic Computer Graphics
Oscar E. Meruvia Pastor.
Otto-von-Guericke-Universität Magdeburg, Germany,
2003. [BibTeX]
Generalizing the Active Shape Model by Integrating Structural Knowledge to Recognize Hand Drawn Sketches
Stephan Al-Zubi, Klaus D. Tönnies.
CAIP, pp. 320--328, Gröningen, Netherland, 25-27 August,
2003. [BibTeX]
Generating Discriminating Cartoon Faces Using Interacting Snakes
Rein-Lien Hsu, Anil K. Jain.
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, No. 11, pp. 1388--1398, November,
2003. [BibTeX]
Generation of Varying Line Thickness
Suguru Saito, Akane Kani, Youngha Chang, Masayuki Nakajima.
Computer Graphics International, pp. 294, Tokyo, Japan, July 09 - 11,
2003. [BibTeX]
GreenArt: A Tool for Non-Photorealistic Rendering of Plants and Trees
C. Campos, R. Quiros, J. Huerta, E. Camahort, J. Lluch, R. Vivo.
eurographics 2003,
2003. [BibTeX]