A Survey of Stroke-Based Rendering
Aaron Hertzmann.
IEEE Computer Graphics and Applications, Vol. 23, No. 4, pp. 70--81, July/August,
2003. [BibTeX]
A Top Down Method for Interactive Drawing
M. Slater.
Computer Graphics Forum, Vol. 7, No. 4, pp. 323--329,
1988. [BibTeX]
A Unified Scheme for Adaptive Stroke-based Rendering
Hyung Woo Kang, Charles K. Chui, Uday K. Chakraborty.
The Visual Computer: International Journal of Computer Graphics, Vol. 22, No. 9, pp. 814--824,
2006. [BibTeX]
A Viscous Paint Model for Interactive Applications
William Baxter, Yuanxin Liu, Ming C. Lin.
The Computer Animation and Social Agents Conference (CASA), Vol. 15, No. 3-4, pp. 433--441, July,
2004. [BibTeX]
A viscous paint model for interactive applications
William Baxter, Yuanxin Liu, Ming C. Lin.
Computer Animation and Virtual Worlds, Vol. 15, No. 3-4, pp. 433--441, July,
2004. [BibTeX]
Advanced Design for a Realistic Virtual Brush
Songhua Xu, Francis Lau, Feng Tang, Yunhe Pan.
Computer Graphics Forum, Vol. 22, No. 3, pp. 533--542, September,
2003. [BibTeX]
Algorithmic Painter: a NPR method to generate various styles of painting
Atsushi Kasao, Kazunori Miyata.
The Visual Computer, Vol. 22, No. 1, pp. 14--27, January,
2006. [BibTeX]
Algorithms for Brush Movement
Kenneth Paul Fishkin, Brian A. Barsky.
The Visual Computer, Vol. 1, No. 4, pp. 221--230, December,
1985. [BibTeX]
An Educational Non-Photorealistic Rendering System Using 2D Images by Java Programming
Kunio Kondo, Tomoyuki Nishita, Hisashi Sato, Koichi Matsuda.
Journal for Geometry and Graphics, Vol. 11, No. 2, pp. 237--247,
2007. [BibTeX]
An Object-Oriented Progressive-Simplification-Based Vectorization System for Engineering Drawings: Model, Algorithm, and Performance
Author(s): Jiqiang Song, Feng Su, Chiew-Lan Tai, Shijie Cai.
Article: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 8, pp. 1048--1060, August,
2002.
[BibTeX] 
Abstract:
Existing vectorization systems for engineering drawings usually take a two-phase workflow: convert a raster image to raw vectors and recognize graphic objects from the raw vectors. The first phase usually separates a ground truth graphic object that intersects
or touches other graphic objects into several parts, thus, the second phase faces the difficulty of searching for and merging raw vectors belonging to the same object. These operations slow down vectorization and degrade the recognition quality. Imitating the way humans
read engineering drawings, we propose an efficient one-phase object-oriented vectorization model that recognizes each class of graphic
objects from their natural characteristics. Each ground truth graphic object is recognized directly in its entirety at the pixel level. The raster
image is progressively simplified by erasing recognized graphic objects to eliminate their interference with subsequent recognition. To
evaluate the performance of the proposed model, we present experimental results on real-life drawings and quantitative analysis using
third party protocols. The evaluation results show significant improvement in speed and recognition rate.