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Conference papers

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 - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
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.
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Submitted on : Friday, April 29, 2011 - 11:47:57 AM
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  • HAL Id : inria-00362883, version 1




Pascal Barla, Simon Breslav, Joëlle Thollot, François X. Sillion, Lee Markosian. Stroke Pattern Analysis and Synthesis. Proc. of Eurographics 2006 : Computer Graphics Forum, Sep 2006, Vienna, Austria. ⟨inria-00362883⟩



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