Non-Photorealistic Computer Graphics Library

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Found 74 item(s) authored in "2001".
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PhD Thesis Algorithms for Rendering in Artistic Styles
Aaron Hertzmann.
New York University, May, 2001. [BibTeX]

Proceedings Animating Chinese Landscape Paintings and Panorama Using Multi-Perspective Modeling
Nelson Siu-Hang Chu, Chiew-Lan Tai.
Computer Graphics International (CGI'01), pp. 0107, Hong Kong, China, July 03 - 06, 2001. [BibTeX]

Proceedings Animation Method for Pen-and-Ink Illustrations Using Stroke Coherency
T. Haga, Henry Johan, Tomoyuki Nishita.
Proc. of CAD & Graphics 2001, pp. 333--343, 2001. [BibTeX]

Master Thesis Artisic Vision: Automatic Digital Painting Using Computer Vision Algorithms
Bruce Gooch.
University of Utah, May, 2001. [BibTeX]

Proceedings Artist Driven Expressive Graphics
Kaye Mason, M. Sheelagh T. Carpendale.
Eurographics 2001, 2001. [BibTeX]

Proceedings Artistic Composition for Image Creation
Bruce Gooch, Erik Reinhard, Chris Moulding, Peter Shirley.
12th Eurographics Workshop on Rendering, pp. 83--88, London, UK, June, 2001. [BibTeX]

Article Artistic Image Generation by Deviation Mapping
Liu Wenyin, Xin Tong, Ying-Qing Xu, Heung-Yeung Shum, Zhong Hua.
International Journal of Image and Graphics, Vol. 1, No. 4, November, 2001. [BibTeX]

Proceedings Automatic Generation of Pencil Drawing from 2D Images Using Line Integral Convolution

Author(s): Xiaoyang Mao, Yoshiyasu Nagasaka, Atsumi Imamiya.
Proceedings: 7th International Conference on Computer Aided Design and Computer Graphics (CAD/GRAPHICS'01), pp. 240--248, August, 2001.
[BibTeX] Find this paper on Google

Abstract:
In this paper, we propose a new technique for automatically generating pencil drawing from 2D images using line integral convolution. Our idea is inspired by the similarity between the stroke textures of pencil drawings and the flow textures generated with line integral convolution. We succeeded in creating pencil drawings with their tone matching that of the original images simply by taking the vector field defining stroke directions and the white noise images generated by referring to the intensity of the original images as the input to the line integral convolution algorithm. By employing the texture analysis techniques, we also succeeded in automatically orienting strokes in the directions that convey the textures of objects appropriately.

Proceedings Automatic Inbetweening in Computer Assisted Animation by Exploiting 2.5D Modelling Techniques
Fabian Di Fiore, Philip Schaeken, Koen Elens, Frank Van Reeth.
The Fourteenth Conference on Computer Animation (CA2001), pp. 192--200, 2001. [BibTeX]

Proceedings Cartoon Image Vectorization Based on Shape Subdivision
Ju Jia Zou, Hong Yan.
Computer Graphics International (CGI'01), pp. 0225, Hong Kong, China, July 03 - 06, 2001. [BibTeX]

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