Diffusion Curve Images--- Rendering in 2 and 3 Dimensions

Stefan Jeschke
Diffusion Curve Images--- Rendering in 2 and 3 Dimensions, 2009-10-07-2009-10-07, Prague
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Information

Abstract

Diffusion curve images (DCI) provide a powerful tool for efficient 2D image generation, storage and manipulation. A DCI consist of curves with colors defined on either side. By diffusing these colors over the image, the final result includes sharp boundaries along the curves with smoothly shaded regions between them.

The first part of the talk presents a new Laplacian surface solver for a stable rendering of DCIs. It consists of a robust rasterization technique to transform the algebraic curves to the discrete image domain, and a variable stencil size diffusion solver that solves the minimal surface problem. The solver is proven to converge to the right solution, it is at least as fast as commonly used multigrid solvers, but much simpler to implement, works for arbitrary image resolutions, as well as 8 bit data.

The second part of the talk extends the application of diffusion curves to render high quality surface details on 3D objects. The first extension is a view dependent warping technique that dynamically allocates more texture memory for details close to the observer. The second extension is a dynamic feature embedding technique that retains crisp, anti-aliased curve details even in extreme closeups. The third extension is the application of dynamic feature embedding to displacement mapping and geometry images. Our results show high quality renderings at interactive frame rates.

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BibTeX

@talk{jeschke-09-praguetalk,
  title =      "Diffusion Curve Images--- Rendering in 2 and 3 Dimensions",
  author =     "Stefan Jeschke",
  year =       "2009",
  abstract =   "Diffusion curve images (DCI) provide a powerful tool for
               efficient 2D image generation, storage and manipulation. A
               DCI consist of curves with colors defined on either side. By
               diffusing these colors over the image, the final result
               includes sharp boundaries along the curves with smoothly
               shaded regions between them.  The first part of the talk
               presents a new Laplacian surface solver for a stable
               rendering of DCIs. It consists of a robust rasterization
               technique to transform the algebraic curves to the discrete
               image domain, and a variable stencil size diffusion solver
               that solves the minimal surface problem. The solver is
               proven to converge to the right solution, it is at least as
               fast as commonly used multigrid solvers, but much simpler to
               implement, works for arbitrary image resolutions, as well as
               8 bit data.  The second part of the talk extends the
               application of diffusion curves to render high quality
               surface details on 3D objects. The first extension is a view
               dependent warping technique that dynamically allocates more
               texture memory for details close to the observer. The second
               extension is a dynamic feature embedding technique that
               retains crisp, anti-aliased curve details even in extreme
               closeups. The third extension is the application of dynamic
               feature embedding to displacement mapping and geometry
               images. Our results show high quality renderings at
               interactive frame rates.",
  event =      "Konversatorium Technical University of Prague ",
  location =   "Prague",
  keywords =   "Diffusion curves",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-praguetalk/",
}