DocumentCode :
2992980
Title :
Surface orientation from projective foreshortening of isotropic texture autocorrelation
Author :
Brown, Lisa Gottesfeld ; Shvaytser, Haim
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
fYear :
1988
fDate :
5-9 Jun 1988
Firstpage :
510
Lastpage :
514
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 texture regularities such as equal-area texels or equal spacing between texels. This technique is applied to natural images of planar textured surfaces and found to give good results in many instances. The simplicity of the method and its use of information from all parts of the image are emphasized
Keywords :
pattern recognition; picture processing; isotropic texture autocorrelation; local surface orientation; pattern recognition; picture processing; projective foreshortening; Autocorrelation; Computer science; Computer vision; Gradient methods; Histograms; Image reconstruction; Layout; Surface fitting; Surface reconstruction; Surface texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Conference_Location :
Ann Arbor, MI
ISSN :
1063-6919
Print_ISBN :
0-8186-0862-5
Type :
conf
DOI :
10.1109/CVPR.1988.196283
Filename :
196283
Link To Document :
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