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TOG
2008
180views more  TOG 2008»
13 years 4 months ago
Diffusion curves: a vector representation for smooth-shaded images
We describe a new vector-based primitive for creating smoothshaded images, called the diffusion curve. A diffusion curve partitions the space through which it is drawn, defining d...
Alexandrina Orzan, Adrien Bousseau, Holger Winnem&...
CGF
2011
12 years 8 months ago
Estimating Color and Texture Parameters for Vector Graphics
Diffusion curves are a powerful vector graphic representation that stores an image as a set of 2D Bezier curves with colors defined on either side. These colors are diffused over...
Stefan Jeschke, David Cline, Peter Wonka
NPAR
2010
ACM
13 years 9 months ago
Diffusion constraints for vector graphics
The formulation of Diffusion Curves [Orzan et al. 2008] allows for the flexible creation of vector graphics images from a set of curves and colors: a diffusion process fills out...
Hedlena Bezerra, Elmar Eisemann, Doug DeCarlo, Jo&...
ICIP
2002
IEEE
14 years 6 months ago
Anisotropic vector diffusion in image smoothing
Anisotropic diffusion has been widely used in image processing for its efficiency of smoothing the noisy images while preserving the sharp edges. In this paper we will explore a g...
Zeyun Yu, Chandrajit L. Bajaj
ISBI
2008
IEEE
14 years 5 months ago
Support vector machine for data on manifolds: An application to image analysis
The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects that are naturally understood to be lying on curved manifolds, ...
Suman K. Sen, Mark Foskey, James Stephen Marron, M...