A Framework for Non-Realistic Projections
Jonathan Levene.
Massachusetts Institute of Technology, May,
1998. [BibTeX]
A shader based approach to painterly rendering
Kaushik Pal.
Texas A&M University,
2004. [BibTeX]
Apparent ridges for line drawing
Tilke Judd.
Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science,
2007. [BibTeX]
Applying Color Science to Computer Graphics
Kenneth Paul Fishkin.
Berkeley Computer Graphics Laboratory, University of California,
1982. [BibTeX]
Artisic Vision: Automatic Digital Painting Using Computer Vision Algorithms
Bruce Gooch.
University of Utah, May,
2001. [BibTeX]
Artistic Rendering with Graphics Shaders
Lukas Lang.
Eastern Michigan University, Department of Computer Science, April,
2010. [BibTeX]
Automatic Rendering of 3D Animal Models in Chinese Painting Style
Jun-Wei Yeh.
National Taiwan University,
2002. [BibTeX]
Computational expressionism : a study of drawing with computation
Joanna Maria Berzowska.
Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, February,
1999. [BibTeX]
Expressive Painterly Rendering Through Image Processing
Jason Douglas Waltman.
School of Computing, University of Utah, May,
2004. [BibTeX]
Image Segmentation for Stylized Non-Photorealistic Rendering and Animation
Author(s): Alexander Kolliopoulos.
Master Thesis: University of Toronto, April,
2005.
[BibTeX] 
Abstract:
This thesis approaches the problem of non-photorealistic rendering by identifying segments in the image plane and filling them using algorithms to render in artistic styles. Using segments as a 2D primitive for non-photorealistic styles is a natural extension of techniques artists often implicitly employ for purposes such as abstraction of unnecessary detail. The problem of segmenting an arbitrary 3D scene in a 2D view using geometric scene information is presented, and a solution based on spectral clustering is proposed. With an acceleration technique, segmentation can be performed in near real-time for interactive, artistic environments. This approach is automatic beyond the setting of segmentation parameters by a user, and it can be extended to temporally coherent non-photorealistic animation by segmenting adjacent frames together. A number of artistic rendering styles are applied within this segmentation framework to demonstrate the effects that such a system makes possible.