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Stylization and abstraction of photographs
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ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
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Image compression using data-dependent triangulations
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Diffusion constraints for vector graphics
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Topology-driven vectorization of clean line drawings
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Diffusion curves: a vector representation for smooth-shaded images
Communications of the ACM
Approximating functions on a mesh with restricted Voronoï diagrams
SGP '13 Proceedings of the Eleventh Eurographics/ACMSIGGRAPH Symposium on Geometry Processing
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We present Ardeco, a new algorithm for image abstraction and conversion from bitmap images into vector graphics. Given a bitmap image, our algorithm automatically computes the set of vector primitives and gradients that best approximates the image. In addition, more details can be generated in user-selected important regions, defined from eye-tracking data or from an importance map painted by the user. Our algorithm is based on a new two-level variational parametric segmentation algorithm, minimizing Mumford and Shah's energy and operating on an intermediate triangulation, well adapted to the features of the image.