Rough Surface Estimation Using the Kirchhoff Model

  • Hossein Ragheb
  • Edwin R. Hancock
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

In this paper, we exploit the theory of light scattering from rough surfaces to estimate surface characteristics through reflectance measurements. Here, we analyse the Beckmann formulation of the Kirchhoff theory We then suggest two classes of surfaces for which the appropriate techniques can be used for estimating the surface roughness, the correlation length and the surface slope. Finally we show how the Beckmann model can be fitted to reflectance data for materials with very-rough surfaces. Since the Kirchhoff theory is inadequate for large angles of incidence, we make use of a modification to the Beckmann model. The proposed techniques have significant potential in computer vision for texture model acquisition and realistic reflectance modelling.

Keywords

Incidence Angle Correlation Length Photometric Stereo Small Incidence Angle Specular Direction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Hossein Ragheb
    • 1
  • Edwin R. Hancock
    • 1
  1. 1.Department of Computer ScienceUniversity of YorkYorkUK

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