Non-Photorealistic Computer Graphics Library

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Found 31 item(s) authored in "2007".
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Proceedings Isophote Distance: A Shading Approach to Artistic Stroke Thickness
Todd Goodwin, Ian Vollick, Aaron Hertzmann.
NPAR '07: Proceedings of the 5th international symposium on Non-photorealistic animation and rendering, pp. 53--62, New York, NY, USA, ACM, 2007. [BibTeX]

Article Locally Controllable Stylized Shading
Hideki Todo, Ken-ichi Anjyo, William Baxter, Takeo Igarashi.
ACM Transactions on Graphics, Vol. 26, No. 3, pp. 17:1--17:7, 2007. [BibTeX]

PhD Thesis Making Digital Painting Organic
Nelson Siu-Hang Chu.
Hong Kong University of Science and Technology, August, 2007. [BibTeX]

Article Mixed Media Painting and Portraiture
Stephen Brooks.
IEEE Transactions on Visualization and Computer Graphics, Vol. 13, No. 5, pp. 1041--1054, 2007. [BibTeX]

Proceedings Non-Photorealistic Rendering in Customizable Styles for Mobile Collaboration
Rong-Qin Chen, Min Tang, Jin-Xiang Dong.
11th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2007), pp. 139--144, 2007. [BibTeX]

Proceedings Painterly Rendered Portraits from Photographs using a Knowledge-Based Approach
Steve DiPaola.
In Proc SPIE: Human Vision and Imaging, Int. Society for Optical Engineering, Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Scott J. Daly, Vol. 6492, SPIE, 2007. [BibTeX]

Article Realization of Seurat's pointillism via non-photorealistic rendering

Author(s): Chuan-Kai Yang, Hui-Lin Yang.
Article: The Visual Computer, Vol. 24, No. 5, pp. 303--322, 2007.
[BibTeX] [DOI] Find this paper on Google

Abstract:
Photorealistic rendering is one of the oldest and most important research areas in computer graphics. More recently, the concept of non-photorealistic rendering has been proposed as an alternative with important advantages for numerous application areas. The popularity of non-photorealism can be mainly attributed to its simplicity, which could potentially lead to a state of aesthetics and succinctness. Reality often presents too many details and too much complexity, thus offsetting the observation of the essence of objects, and objects' interaction with lights. Based on a similar belief, impressionism focuses primarily on conveying the interaction of light and shadows without emphasizing the fine details of a scene. In recent years, there has been a trend towards simulating impressionism with computers. Among the various styles of impressionism, we are particularly interested in simulating the style of pointillism, especially the style presented by Georges-Pierre Seurat, deemed the founder of pointillism. The reason his style attracts us is twofold. First, the painting process of pointillism is extremely laborious, so unloading the main proportion of the manual painting task is mostly desired. Second, though several existing general-purposed algorithms may be able to approximate pointillism with point-like strokes, some delicate features frequently observed in Seurat's paintings are still not satisfactorily reflected. To achieve simulating Seurat's painting style, we have made careful observations of all accessible Seurat's paintings and extracted from them some important features, such as the relatively few primitive colors, color juxtaposition, point sizes, and, in particular, the effects of complementary colors and halos. These features have been more successfully simulated and results are comparable with not only Seurat's existing paintings, but also with previous attempted simulations.

Article Ribbons: A representation for point clouds
Adam Runions, Faramarz Samavati, Przemyslaw Prusinkiewicz.
The Visual Computer, Vol. 23, No. 9--11, pp. 945--954, September, 2007. [BibTeX]

Article RTcams: A New Perspective on Nonphotorealistic Rendering from Photographs
Peter M. Hall, John P. Collomosse, Yi-Zhe Song, Peiyi Shen, Chuan Li.
IEEE Transactions on Visualization and Computer Graphics, Vol. 13, No. 5, pp. 966--979, Sept.-Oct., 2007. [BibTeX]

Article Stylized Rendering for Anatomic Visualization
Tong-Yee Lee, Chung-Ren Yan, Ming-Te Chi.
Computing in Science and Engineering, Vol. 9, No. 1, pp. 13--19, January/February, 2007. [BibTeX]

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