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

Authors:
Svetlana Barsky;Maria Petrou
Affiliations:
Electrical and Electronic Engineering Department, Imperial College, London, UK SW7 2AZ;Electrical and Electronic Engineering Department, Imperial College, London, UK SW7 2AZ
Venue:
Journal of Mathematical Imaging and Vision
Year:
2007

Citing 16
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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.