Non-Photorealistic Computer Graphics Library

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Found 7 item(s) authored by "François X. Sillion" Find Author on Google.

Technical Report A Procedural Approach to Style for NPR Line Drawing from 3D models
Stephane Grabli, Frédo Durand, Emmanuel Turquin, François X. Sillion.
INRIA, No. 4724, February, 2003. [BibTeX]

Proceedings Density Measure for Line-Drawing Simplification
Stephane Grabli, Frédo Durand, François X. Sillion.
12th Pacific Conference on Computer Graphics and Applications (PG'04), pp. 309--318, Seoul, Korea, October 06 - 08, 2004. [BibTeX]

Proceedings Geometric Clustering for Line Drawing Simplification
Pascal Barla, Joëlle Thollot, François X. Sillion.
Siggraph technical sketch: SIGGRAPH'2005, 2005. [BibTeX]

Proceedings Geometric Clustering for Line Drawing Simplification
Pascal Barla, Joëlle Thollot, François X. Sillion.
Proceedings of Eurographics Symposium on Rendering (EGSR'05), pp. 183--192, Konstanz, Germany, June 29 - July 1, 2005. [BibTeX]

Proceedings Interactive watercolor rendering with temporal coherence and abstraction
Adrien Bousseau, Matthew Kaplan, Joëlle Thollot, François X. Sillion.
NPAR '06: Proceedings of the 4th international symposium on Non-photorealistic animation and rendering, pp. 141--149, New York, NY, USA, June, ACM Press, 2006. [BibTeX]

Proceedings Programmable Style for NPR Line Drawing
Stephane Grabli, Emmanuel Turquin, Frédo Durand, François X. Sillion.
Rendering Techniques 2004 (Eurographics Symposium on Rendering), ACM Press, 2004. [BibTeX]

Article Stroke Pattern Analysis and Synthesis

Author(s): Pascal Barla, Simon Breslav, Joëlle Thollot, François X. Sillion, Lee Markosian.
Article: Computer Graphics Forum, Vol. 25, No. 3, pp. 663--671, 2006.
[BibTeX] Find this paper on Google

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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