DocumentCode
3208034
Title
Shape from periodic texture using the spectrogram
Author
Krumm, John ; Shafer, Steven A.
Author_Institution
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
1992
fDate
15-18 Jun 1992
Firstpage
284
Lastpage
289
Abstract
It is shown how local spatial image frequency is related to the surface normal of a textured surface. It is found that the Fourier power spectra of any two similarly textured patches on a plane are approximately related to each other by an affine transformation. The transformation parameters are a function of the plane´s surface normal. This relationship is used as the basis of an algorithm for finding surface normals of textured shapes using the spectrogram, which is one type of local spatial frequency representation. The relationship is validated by testing the algorithm on real textures. By analyzing shape and texture in terms of the local spatial frequency representation, the advantages of the representation for the shape-from-texture problem can be exploited. Specifically, the algorithm requires no feature detection and can give correct results even when the texture is aliased
Keywords
Fourier analysis; image texture; Fourier power spectra; affine transformation; local spatial frequency representation; local spatial image frequency; periodic texture; shape-from-texture; similarly textured patches; spectrogram; surface normal; textured surface; transformation parameters; Aerospace electronics; Computer vision; Frequency; Image analysis; Marine vehicles; Pixel; Robots; Shape; Spectrogram; Surface texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location
Champaign, IL
ISSN
1063-6919
Print_ISBN
0-8186-2855-3
Type
conf
DOI
10.1109/CVPR.1992.223262
Filename
223262
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