Skip to main content
Article thumbnail
Location of Repository

Automatic Synthesis of Isotropic Textures on Subdivision Surfaces from Sample Images

By et al. Joel Castellanos


We describe a fully automatic method of synthesizing isotropic textures on subdivision surfaces from sample images. We restrict ourselves to isotropic textures because only isotropic textures can be automatically generated on an arbitrary surface in the absence of a parametrization. Unlike previous approaches, texture synthesis is accomplished in a coarse-to-fine fashion by constructing both Gaussian and Laplacian pyramid representations of the synthetic texture. The inverse Laplacian pyramid transform is used to generate first approximations to the texture at each level of the associated Gaussian pyramid. These approximations are refined using a modified nearest neighbor search process which preserves the first-order statistics of the sample texture. This search process can be considered to be a sampling procedure for an implicitly defined Markov random field. The resulting texture is generated directly on the subdivision surface. Within the domain of isotropic textures, the proposed method offers improvements in faithful reproduction of a sample’s appearance over a wide range of scales

Topics: texture synthesis, laplacian pyramid, subdivision surfaces
Year: 2009
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.