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
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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [17 references]  Display  Hide  Download


https://hal.inria.fr/inria-00362883
Contributor : Pascal Barla <>
Submitted on : Friday, April 29, 2011 - 11:47:57 AM
Last modification on : Wednesday, August 7, 2019 - 2:34:15 PM
Long-term archiving on : Saturday, July 30, 2011 - 2:25:57 AM

Files

pattern.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00362883, version 1

Collections

INRIA | IMAG | UGA

Citation

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⟩

Share

Metrics

Record views

989

Files downloads

5717