A Six-Stimulus Theory for Stochastic Texture J. M. Geusebroek, A. W. M. Smeulders In International Journal of Computer Vision 2005. [bibtex] [pdf] [url]

We report a six-stimulus basis for stochastic texture perception. Fragmentation of the scene by a chaotic process causes the spatial scene statistics to conform to a Weibull-distribution. The parameters of the Weibull distribution characterize the spatial structure of uniform stochastic textures of many different origins completely. In this paper, we report the perceptual significance of the Weibull parameters. We demonstrate the parameters to be sensitive to orthogonal variations in the imaging conditions, specifically to the illumination conditions, camera magnification and resolving power, and the texture orientation. Apparently, the Weibull parameters form a six-stimulus basis for stochastic texture description. The results indicate that texture perception can be approached like the experimental science of colorimetry.



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@Article{GeusebroekIJCV2005a,
  author       = "Geusebroek, J. M. and Smeulders, A. W. M.",
  title        = "A Six-Stimulus Theory for Stochastic Texture",
  journal      = "International Journal of Computer Vision",
  volume       = "62",
  pages        = "7--16",
  year         = "2005",
  url          = "https://ivi.fnwi.uva.nl/isis/publications/2005/GeusebroekIJCV2005a",
  pdf          = "https://ivi.fnwi.uva.nl/isis/publications/2005/GeusebroekIJCV2005a/GeusebroekIJCV2005a.pdf",
  has_image    = 1
}