Non-Photorealistic Computer Graphics Library

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Found 5 item(s) authored by "Tamás Szirányi" Find Author on Google.

Proceedings 2D Multilayer Painterly Rendering with Automatic Focus Extraction
Levente Kovács, Tamás Szirányi.
14th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG'06), pp. 141--145, 2006. [BibTeX]

Proceedings Coding of Stroke-Based Animations
Levente Kovács, Tamás Szirányi.
WSCG 2004 - POSTER proceedings, Plzen, Czech Republic, February, UNION Agency - Science Press, 2004. [BibTeX]

Proceedings Efficient Coding of Stroke-rendered Paintings
Levente Kovács, Tamás Szirányi.
International Conference on Pattern Recognition (ICPR'04), Vol. 2, pp. 835--838, 23-26 August, 2004. [BibTeX]

Proceedings Optimization of Paintbrush Rendering of Images by Dynamic MCMC Methods

Author(s): Tamás Szirányi, Zoltán Tóth.
Proceedings: Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'01), Vol. 2134, Lecture Notes in Computer Science, pp. 201--215, London, UK, 2001.
[BibTeX] Find this paper on Google

We have developed a new stochastic image rendering method for the compression, description and segmentation of images. This paintbrush-like image transformation is based on a random searching to insert brush-strokes into a generated image at decreasing scale of brush-sizes, without predefined models or interaction. We introduced a sequential multiscale image decomposition method, based on simulated rectangular-shaped paintbrush strokes. The resulting images look like good-quality paintings with well-defined contours, at an acceptable distortion compared to the original image. The image can be described with the parameters of the consecutive paintbrush strokes, resulting in a parameter-series that can be used for compression. The painting process can be applied for image representation, segmentation and contour detection. Our original method is based on stochastic exhaustive searching which takes a long time of convergence. In this paper we propose a modified algorithm of speed up of about 2x where the faster convergence is supported by a dynamic Metropolis Hastings rule.

Proceedings Painterly Rendering Controlled by Multiscale Image Features
Levente Kovács, Tamás Szirányi.
Proceedings of the 20th Spring Conference on Computer Graphics (SCCG'04), pp. 177--184, Budmerice, Slovakia, 2004. [BibTeX]

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