Adaptive Image Translation for Painterly Rendering
Kenji Hara, Kohei Inoue, Kiichi Urahama.
IAPR Conference on Machine Vision Applications (MVA2005), pp. 566--569,
2005. [BibTeX]
Adaptive Parameter Control For Image Moment-Based Painterly Rendering
Michio Shiraishi, Yasushi Yamaguchi.
9th International Conference on Geometry and Graphics, pp. 389--393, Johannesburg,
2000. [BibTeX]
Adaptive Unwrapping for Interactive Texture Painting
Takeo Igarashi, Dennis Cosgrove.
2001 ACM Symposium on Interactive 3D Graphics,
2001. [BibTeX]
AI Supported Computer-Generated Pen-and-Ink Illustration
Yan Gu, Songhua Xu, Min Tang, Jinxiang Dong.
The Sixth International Conference on Computer Supported Cooperative Work in Design, pp. 227--231, 12-14 July,
2001. [BibTeX]
An Algorithm For Automatic Painterly Rendering Based On Local Source Image Approximation
Michio Shiraishi, Yasushi Yamaguchi.
1st International Symposium on Non-Photorealistic Animation and Rendering (NPAR'00), pp. 53--58, Annecy, France, June 05 - 07,
2000. [BibTeX]
An algorithm for shading of regions on vector display devices
Kurt E. Brassel, Robin Fegeas.
Proceedings of the 6th annual conference on Computer graphics and interactive techniques, Siggraph 79, pp. 126--133,
1979. [BibTeX]
An Approach to Visualizing Transparency in Computer-Generated Line Drawings
Jörg Hamel, Stefan Schlechtweg, Thomas Strothotte.
IV'98,
1998. [BibTeX]
An Educational Tool for Basic Techniques in Beginner's Pencil Drawing
Author(s): Saeko Takagi, Noriyuki Matsuda, Masato Soga, Hirokazu Taki.
Proceedings: Computer Graphics International, pp. 288, Tokyo, Japan, July 09 - 11,
2003.
[BibTeX] 
Abstract:
A picture is one of important research subjects in order to make our life spiritually rich. Most studies on pictures, however, only propose some substitute functions of actual drawing or painting materials. There is no system that evaluates pictures drawn by users and gives advice about them. We propose a learning support system for basic techniques in beginner’s pencil drawing. The proposed system receives a subject (motif) data set and an image of user’s sketch and returns advice to the user. The system is composed of the four subsystems: feature extraction of motifs, feature extraction of sketches, error identification, and generation and presentation of advice. We developed and experimented a prototype system limited to treat a basic motif and some principal advice. As a result, the validity of the proposed system was confirmed.
An Efficient Brush Model for Physically-Based 3D Painting
Nelson Siu-Hang Chu, Chiew-Lan Tai.
10th Pacific Conference on Computer Graphics and Applications (PG'02), pp. 413--421, Tsinghua University, Beijing, October 09 - 11,
2002. [BibTeX]
An Illustration Technique Using Hardware-Based Intersections and Skeletons
Oliver Deussen, Jörg Hamel, Andreas Raab, Stefan Schlechtweg, Thomas Strothotte.
Graphics Interface (GI'99), pp. 175--182,
1999. [BibTeX]