Interactive Topological Drawing
Robert Glenn Scharein.
Department of Computer Science, University of British Columbia, March,
1998. [BibTeX]
Making Digital Painting Organic
Nelson Siu-Hang Chu.
Hong Kong University of Science and Technology, August,
2007. [BibTeX]
Methods for two dimensional stroke based painterly rendering. Effects and applications
Levente Kovács.
University of Pannonia, Veszprém, Hungary,
2006. [BibTeX]
Non-photorealistic Rendering: A Critical Examination and Proposed System
Simon Schofield.
School of Art and Design, Middlesex University, United Kingdom, May,
1994. [BibTeX]
Perceptually-motivated Non-Photorealistic Graphics
Holger Winnemöller.
Northwestern University, Evanston, Illinois, U.S.A.,
2006. [BibTeX]
Physically-Based Modeling Techniques for Interactive Digital Painting
Author(s): William Baxter.
PhD Thesis: University of North Carolina, Department of Computer Science,
2004.
[BibTeX]
Abstract:
In this dissertation I present a novel, physically-based approach to digital painting.
With the interactive simulation techniques I present, digital painters can work with
digital brushes and paints whose behavior is similar to real ones. Using this physicallybased approach, a digital painting system can provide artists with a versatile and expressive creative tool, while at the same time providing a more natural style of interaction enabled by the emulation of real-world implements.
I introduce several specific modeling techniques for digital painting. First, I present a physically-based, 3D, deformable, virtual brush model based on non-linear quasi-static constrained energy minimization. The brush dynamics are computed using a skeletal physical model, which then determines the motion of a more complex geometric model. I also present three different models for capturing the dynamic behavior of viscous paint media, each offering a different trade-off between speed and fidelity—from 2D heuristics, to 3D partial differential equations. Accurate modeling of the optical behavior of paint mixtures and glazes is also important, and for this I present a real-time, physicallybased rendering technique, based on the Kubelka-Munk equations and an eight-sample color space. Finally, I present techniques for modeling the haptic response of brushes in an artist’s hand, and demonstrate that all these techniques can be combined to provide the digital painter with an interactive, virtual painting system with a working style similar to real-world painting.
Real-Time Non-Photorealistic Rendering Techniques for Illustrating 3D Scenes and their Dynamics
Marc Nienhaus.
University of Potsdam, Germany, June,
2005. [BibTeX]
Real-Time Stroke-Based Halftoning
Bert Freudenberg.
Otto-von-Guericke-Universität, Magdeburg,
2003. [BibTeX]
Representation and acquisition models for expressive rendering
Pascal Barla.
Institut National Polytechnique de Grenoble,
2006. [BibTeX]
Seeing Structure: Using Knowledge to Reconstruct and Illustrate Anatomy
Kevin P. Hinshaw.
University of Washington,
2000. [BibTeX]