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Stroke Pattern Analysis and Synthesis
Author(s) -
Barla Pascal,
Breslav Simon,
Thollot Joëlle,
Sillion François,
Markosian Lee
Publication year - 2006
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2006.00986.x
Subject(s) - computer science , computer graphics , graphics , artificial intelligence , pattern recognition (psychology) , texture (cosmology) , texture synthesis , extension (predicate logic) , pattern analysis , computer vision , perception , computer graphics (images) , image texture , image (mathematics) , image processing , neuroscience , biology , programming language
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. Categories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Color, shading, shadowing, and texture I.3.4 [Computer Graphics]: Paint systems