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
Author(s): Michio Shiraishi, Yasushi Yamaguchi.
Proceedings: 1st International Symposium on Non-Photorealistic Animation and Rendering (NPAR'00), pp. 53--58, Annecy, France, June 05 - 07,
2000.
[BibTeX] 
Abstract:
This paper presents a new method for the automatic painterly rendering.
This method synthesizes an impressive image with a handcrafted
look from a source image such as a photograph. This
method generates rectangular brush strokes approximating the local
regions of the source image with suitable locations, orientations,
and sizes. These properties are calculated with the image
moments of the color difference images, obtained by taking the differences
between the local source images and the stroke colors. The
method explicitly deals with not only intensity but also chromaticity
of the source image. The resulting image is composited with
smaller strokes at the details while its flat regions are painted with
larger ones. The method is also able to control the density of strokes
as well as their painting order based on their sizes. The density is
controlled by a dithering method with space-filling curves. Painting
process starts from the larger strokes and finishes with the finer
ones. Because of this density control and the painting order, the
final image preserves the details of the source image.
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
Saeko Takagi, Noriyuki Matsuda, Masato Soga, Hirokazu Taki.
Computer Graphics International, pp. 288, Tokyo, Japan, July 09 - 11,
2003. [BibTeX]
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]