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Journal of Mathematical Imaging and Vision

, Volume 29, Issue 2–3, pp 185–204 | Cite as

Surface Texture Using Photometric Stereo Data: Classification and Direction of Illumination Detection

  • Svetlana Barsky
  • Maria Petrou
Article

Abstract

This paper generalizes the recently proposed sinusoidal model used for modeling the variation of texture features under changes in illumination direction, so that it can handle surfaces which are very rough and of variable albedo. It deals with the problem of identifying the direction of illumination of a rough surface from a single image, using information from a photometric stereo set of images. In addition, it presents methodology for classifying the texture of a rough surface, using generalized normals that capture both shape and albedo information. It assumes that the surface is Lambertian and is presented to the camera in a fronto-parallel view.

Keywords

3D textures Photometric stereo Illumination invariant recognition Illumination direction recognition 

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  1. 1.Electrical and Electronic Engineering DepartmentImperial CollegeLondonUK

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