Non-Photorealistic Computer Graphics Library

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Found 17 item(s) authored by "John P. Collomosse" .
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Article Rendering cartoon-style motion cues in post-production video
John P. Collomosse, D. Rowntree, Peter M. Hall.
Graphical Models, Vol. 67, No. 6, pp. 549--564, November, 2005. [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 Salience-adaptive Painterly Rendering using Genetic Search
John P. Collomosse, Peter M. Hall.
Intl. Journal on Artificial Intelligence Tools (IJAIT), Vol. 14, No. 4, 2005. [BibTeX]

Technical Report Stroke Surfaces: A Spatio-temporal Framework for Temporally Coherent Non-photorealistic Animations
John P. Collomosse, D. Rowntree, Peter M. Hall.
University of Bath, No. CSBU 2003-01, June, 2003. [BibTeX]

Article Stroke Surfaces: Temporally Coherent Artistic Animations from Video
John P. Collomosse, D. Rowntree, Peter M. Hall.
IEEE Transactions on Visualization and Computer Graphics, Vol. 11, No. 5, pp. 540--549, September/October, 2005. [BibTeX]

Proceedings Video Analysis for Cartoon-like Special Effects
John P. Collomosse, D. Rowntree, Peter M. Hall.
14th British Machine Vision Conference (BMVC), Vol. 2, pp. 749--758, Norwich, U.K., September, 2003. [BibTeX]

Article Video motion analysis for the synthesis of dynamic cues and Futurist art

Author(s): John P. Collomosse, Peter M. Hall.
Article: Graphical Models (Special Issue on the Vision, Video and Graphics Conference 2005), Vol. 68, No. 5-6, pp. 402--414, September-November, 2006.
[BibTeX] [DOI] Find this paper on Google

Abstract:
This paper presents new methods for stylising video to produce cartoon motion emphasis cues and modern art. Specifically, we introduce "dynamic cues" as a class of motion emphasis cue, encompassing traditional animation techniques such as anticipation and motion exaggeration. We describe methods for automatically synthesising such cues within video premised upon the recovery of articulated ?gures, and the subsequent manipulation of the recovered pose trajectories. Additionally, we show how our motion emphasis framework may be applied to emulate artwork in the Futurist style, popularised by Duchamp.

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