Stroke Pattern Analysis and Synthesis

Pascal Barla 1 Simon Breslav 2 Joëlle Thollot 1 François X. Sillion 1 Lee Markosian 2
1 ARTIS - Acquisition, representation and transformations for image synthesis
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
2 EECS - Department of Electrical Engineering and Computer Science
Abstract : We present a synthesis technique that can automatically generate stroke patterns based on a user-specified reference pattern. Our method is an extension of texture synthesis techniques to vector-based patterns. Such an extension requires (a) an analysis of the pattern properties to extract meaningful pattern elements (defined as clusters of strokes) and (b) a synthesis algorithm based on similarities in the detected stroke clusters. Our method is based on results from human vision research concerning perceptual organization. The resulting synthesized patterns effectively reproduce the properties of the input patterns, and can be used to fill both 1D paths and 2D regions.
Type de document :
Communication dans un congrès
Eduard Gröller and László Szirmay-Kalos. Proc. of Eurographics 2006 : Computer Graphics Forum, Sep 2006, Vienna, Austria. ACM, 25, 2006, 663-671. 〈http://diglib.eg.org/EG/CGF/volume25/issue3/v25i3pp663-671.pdf〉
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https://hal.inria.fr/inria-00362883
Contributeur : Pascal Barla <>
Soumis le : vendredi 29 avril 2011 - 11:47:57
Dernière modification le : mercredi 11 avril 2018 - 01:53:29
Document(s) archivé(s) le : samedi 30 juillet 2011 - 02:25:57

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  • HAL Id : inria-00362883, version 1

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Pascal Barla, Simon Breslav, Joëlle Thollot, François X. Sillion, Lee Markosian. Stroke Pattern Analysis and Synthesis. Eduard Gröller and László Szirmay-Kalos. Proc. of Eurographics 2006 : Computer Graphics Forum, Sep 2006, Vienna, Austria. ACM, 25, 2006, 663-671. 〈http://diglib.eg.org/EG/CGF/volume25/issue3/v25i3pp663-671.pdf〉. 〈inria-00362883〉

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