Chinese Ink Rendering for Trees Using Outline Drawing and Texture Strokes
Der-Lor Way, Yu-Ru Lin, Zen-Chung Shih.
International Workshop on Advanced Image Technology (IWAIT2002), Hualien, Taiwan, January 16-19,
2002. [BibTeX]
Computer Aided Inbetweening
Alexander Kort.
2nd International Symposium on Non-Photorealistic Animation and Rendering (NPAR'02), Annecy, France, June 3-5,
2002. [BibTeX]
Computer Graphics and Geometric Ornamental Design
Craig S. Kaplan.
University of Washington,
2002. [BibTeX]
Conveying 3D Shape with Texture: Recent Advances and Experimental Findings
Victoria Interrante, Sunghee Kim, Haleh Hagh-Shenas.
Proc. SPIE, Human Vision and Electronic Imaging VII, Bernice E. Rogowitz, Thrasyvoulos N. Pappas, Vol. 4662, pp. 197--206, May,
2002. [BibTeX]
Creating Non-Photorealistic Images the Designer’s Way
Nick Halper, Stefan Schlechtweg, Thomas Strothotte.
2nd International Symposium on Non-Photorealistic Animation and Rendering (NPAR'02), Annecy, France, June 3-5,
2002. [BibTeX]
Curve Analogies
Aaron Hertzmann, Nuria Oliver, Brian Curless, Steven M. Seitz.
Proceedings of the 13th Eurographics workshop on Rendering,
2002. [BibTeX]
Drawing Skeletons
Tom Brunet, Nina Amenta, Thore Karlsen.
2002. [BibTeX]
Drawing with the Hand in Free Space
Steven Schkolne, Michael Pruett, Peter Schröder.
Leonardo, August,
2002. [BibTeX]
Evaluating Space Perception in NPR Immersive Environments
Amy A. Gooch, Peter Willemsen.
2nd International Symposium on Non-Photorealistic Animation and Rendering (NPAR'02), pp. 105--110, Annecy, France, June 3-5,
2002. [BibTeX]
Example-based Automatic Portraiture
Author(s): Hong Chen, Lin Liang, Ying-Qing Xu, Heung-Yeung Shum, Nan-Ning Zheng.
Proceedings: The 5th Asian Conference on Computer Vision (ACCV2002), Melbourne, Australia, 23–25 January,
2002.
[BibTeX] 
Abstract:
In this paper, we present an example-based approach for automatically generating a life-like portrait from a frontal face image. Based on an inhomogeneous Markov Random
Field Model, an inhomogeneous non-parametric sampling scheme is used to capture the complex statistical characteristics of face image and corresponding portrait. In our approach, only those pixels corresponding to a portrait point are sampled. Such a strategy is crucial for maintaining facial structure and guaranteeing coherence of portrait lines. Experimental results demonstrate the effectiveness and lifelikeness
of our approach.