A Statistical Method for SVBRDF Approximation from Video Sequences in General Lighting Conditions

Gianpaolo Palma, Marco Callieri, Matteo Dellepiane, Roberto Scopigno

Computer Graphics Forum (Issue of Eurographics Symposium on Rendering 2012), Volume 31, Number 4, page 1491-1500 - 2012

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Abstract

We present a statistical method for the estimation of the Spatially Varying Bidirectional Reflectance Distribution Function (SVBRDF) of an object with complex geometry, starting from video sequences acquired with fixed but general lighting conditions. The aim of this work is to define a method that simplifies the acquisition phase of the object surface appearance and allows to reconstruct an approximated SVBRDF. The final output is suitable to be used with a 3D model of the object to obtain accurate and photo-realistic renderings. The method is composed by three steps: the approximation of the environment map of the acquisition scene, using the same object as a probe; the estimation of the diffuse color of the object; the estimation of the specular components of the main materials of the object, by using a Phong model. All the steps are based on statistical analysis of the color samples projected by the video sequences on the surface of the object. Although the method presents some limitations, the trade-off between the easiness of acquisition and the obtained results makes it useful for practical applications.

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BibTex references

@Article\{PCDS12,
  author       = "Palma, Gianpaolo and Callieri, Marco and Dellepiane, Matteo and Scopigno, Roberto",
  title        = "A Statistical Method for SVBRDF Approximation from Video Sequences in General Lighting Conditions",
  journal      = "Computer Graphics Forum (Issue of Eurographics Symposium on Rendering 2012)",
  number       = "4",
  volume       = "31",
  pages        = "1491-1500",
  year         = "2012",
  keywords     = "SVBRDF, video sequences, general lighting conditions",
  url          = "http://vcg-legacy.isti.cnr.it/Publications/2012/PCDS12"
}

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» Gianpaolo Palma
» Marco Callieri
» Matteo Dellepiane
» Roberto Scopigno