DocumentCode
1368660
Title
Surface orientation from projective foreshortening of isotropic texture autocorrelation
Author
Brown, L.G. ; Shvaytser, H.
Author_Institution
Dept. of Comput. Sci., Columbia Univ., New York, NY
Volume
12
Issue
6
fYear
1990
fDate
6/1/1990 12:00:00 AM
Firstpage
584
Lastpage
588
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
Keywords
correlation methods; picture processing; autocorrelation; isotropic texture; picture processing; planar-textured surfaces; projective foreshortening; surface orientation; textural isotropy; Autocorrelation; Computer science; Computer vision; Gradient methods; Histograms; Image reconstruction; Layout; Surface fitting; Surface reconstruction; Surface texture;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.56194
Filename
56194
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