Surface Orientation from Projective Foreshortening of Isotropic Texture Autocorrelation

Authors:
L.G. Brown;H. Shvayster
Affiliations:
-;-
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1990

Citing 2
Cited 7

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Pattern Recognition

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Abstract

A method for determining local surface orientation from the autocorrelation function of statistically isotropic textures is introduced. It relies on the foreshortening that occurs in the image of an oriented surface, and the analogous foreshortening produced in the texture-autocorrelation function. This method assumes textural isotropy, but does not require the texture to be composed of texels or assume other texture regularities. The technique was applied to natural images of planar-textured surfaces and found to give good results. The simplicity of the method and its use of information from all parts of the image are emphasized.