Non-Photorealistic Computer Graphics Library

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Found 117 item(s) authored in "2005".
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Proceedings Multi-level Performance-driven Stylised Facial Animation
Fabian Di Fiore, Frank Van Reeth.
Proceedings of Computer Animation and Social Agents (CASA'05), pp. 73--78, Hong Kong, China, October 17-19, 2005. [BibTeX]

Technical Report Multi-scale Line Drawings from 3D Meshes
Alex Ni, Kyuman Jeong, Seungyong Lee, Lee Markosian.
Department of Electrical Engineering and Computer Science, University of Michigan, No. CSE-TR-510-05, July, 2005. [BibTeX]

Proceedings Multiple illuminated paper textures for drawing strokes
Kyoko Murakami, Reiji Tsuruno, Etsuo Genda.
Computer Graphics International 2005 (CGI'05), pp. 156--161, 22-24 June, 2005. [BibTeX]

Technical Report Non-Photorealistic Rendering in Context: An Observational Study
Tobias Isenberg, Petra Neumann, M. Sheelagh T. Carpendale, Mario Costa Sousa, Joaquim A. Jorge.
Department of Computer Science, University of Calgary, No. Technical Report 2005-805-36, Canada, December, 2005. [BibTeX]

Article Nonphotorealistic Virtual Environment Navigation from Images
Hyung Woo Kang.
International Journal of Image and Graphics, Vol. 5, No. 2, pp. 433--445, 2005. [BibTeX]

Proceedings NPR, Focussing and Emphasis in Medical Visualizations
Bernhard Preim, Christian Tietjen, Christina Dörge.
In Simulation und Visualisierung 2005. SCS, 2005. [BibTeX]

Proceedings Paintbrush rendering of lines using HMMs

Author(s): Yuta Okabe, Suguru Saito, Masayuki Nakajima.
Proceedings: 3rd International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia (GRAPHITE'05), pp. 91--98, Dunedin, New Zealand, 2005.
[BibTeX] [DOI] Find this paper on Google

Abstract:
We propose a new method that emulates the expressive appearance of paintbrush strokes on paper. In our system, brush footprint characteristics are modeled using Hidden Markov Models (HMMs). Once the model is trained by a data set of given strokes, it estimates the most likely sequence of footprints for a given input line. The main difference between our method and other ones that use direct texture mapping lies in the estimation of the dynamic behavior of the footprints with respect to input lines. Since our method models simultaneously the physical characteristics of the brush and the drawing styles, it transforms input lines to aesthetic strokes which are really close to true ones, made with a real brush on a paper.

Proceedings Painting brush control techniques in chinese painting robot
Fenghui Yao, Guifeng Shao.
IEEE International Workshop on Robot and Human Interactive Communication (ROMAN'05), pp. 462--467, Aug. 13 - 15, 2005. [BibTeX]

Proceedings Painting the Digital River
James Faure Walker.
Ninth International Conference on Information Visualisation (IV'05), pp. 928--930, 2005. [BibTeX]

Proceedings Parameterized Sketches from Stereo Images
Danijela Markovic, Efstathios Stavrakis, Margrit Gelautz.
Proceedings of SPIE - Image and Video Communications and Processing 2005, Amir Said and John G. Apostolopoulos, Vol. 5685, pp. 783--791, San Jose, California, USA, March, 2005. [BibTeX]

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