Non-Photorealistic Computer Graphics Library

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Found 17 item(s) authored by "John P. Collomosse" .
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Proceedings A Mid-level Description of Video, with Application to Non-photorealistic Animation
John P. Collomosse, Peter M. Hall.
15th British Machine Vision Conference (BMVC), Vol. 1, pp. 7--16, Kingston, U.K., September, 2004. [BibTeX]

Proceedings Arty Shapes
Yi-Zhe Song, Paul L. Rosin, Peter M. Hall, John P. Collomosse.
Computational Aesthetics in Graphics, Visualization, and Imaging, pp. 65--72, June, 2008. [BibTeX]

Proceedings Cartoon-style Rendering of Motion from Video
John P. Collomosse, D. Rowntree, Peter M. Hall.
Intl. Conference of Video, Vision and Graphics (VVG), pp. 117--124, July, 2003. [BibTeX]

Article Cubist Style Rendering from Photographs
John P. Collomosse, Peter M. Hall.
IEEE Transactions on Visualization and Computer Graphics, Vol. 9, No. 4, pp. 443--453, October, 2003. [BibTeX]

Proceedings Empathic Painting: Interactive stylization through observed emotional state
Maria Shugrina, Margrit Betke, John P. Collomosse.
NPAR '06: Proceedings of the 4th international symposium on Non-photorealistic animation and rendering, pp. 87--96, New York, NY, USA, June, ACM Press, 2006. [BibTeX]

Proceedings Genetic Paint: A Search for Salient Paintings

Author(s): John P. Collomosse, Peter M. Hall.
Proceedings: EvoMUSART (at EuroGP), Springer Lecture Notes in Computer Science, Vol. 3449, pp. 437--447, Lausanne, March, 2005.
[BibTeX] Find this paper on Google

Abstract:
The contribution of this paper is a novel non-photorealistic rendering (NPR) algorithm for rendering real images in an impasto painterly style. We argue that figurative artworks are salience maps, and develop a novel painting algorithm that uses a genetic algorithm (GA) to search the space of possible paintings for a given image, so approaching an "optimal" artwork in which salient detail is conserved and non-salient detail is attenuated. We demonstrate the results of our technique on a wide range of images, illustrating both the improved control over level of detail due to our salience adaptive painting approach, and the benefits gained by subsequent relaxation of the painting using the GA.

Technical Report Genetic Painting: A Salience Adaptive Relaxation Technique for Painterly Rendering
John P. Collomosse, Peter M. Hall.
University of Bath, No. CSBU-2003-02, UK, October, 2004. [BibTeX]

PhD Thesis Higher Level Techniques for the Artistic Rendering of Images and Video
John P. Collomosse.
University of Bath, UK, May, 2004. [BibTeX]

Proceedings Motion Analysis in Video: Dolls, Dynamic Cues and Modern Art
John P. Collomosse, Peter M. Hall.
2nd International Conference on Vision, Video and Graphics (VVG '05), pp. 109--116, July, 2005. [BibTeX]

Proceedings Painterly Rendering using Image Salience
John P. Collomosse, Peter M. Hall.
20th Eurographics UK Conference, pp. 122-128, Leicester, UK, June 11 - 13, De Montfort University, 2002. [BibTeX]

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