DocumentCode
1740907
Title
Adapting scale by minimising spectral defocusing for shape from texture
Author
Ribiero, E. ; Hancock, Edwin R.
Author_Institution
Dept. of Comput. Sci., York Univ., UK
Volume
3
fYear
2000
fDate
2000
Firstpage
893
Abstract
Spectral analysis provides a powerful means of estimating the perspective pose of texture planes. Unfortunately one of the problems that restricts the utility of the method is the need to set the size of the spectral window. For texture planes viewed under extreme perspective distortion, the spectral frequency density may vary rapidly across the image plane. If the size of the window is mismatched to the underlying texture distribution, then the estimated frequency spectrum may become severely defocused. This in turn limits the accuracy of perspective pose estimation. The aim in this paper is to describe an adaptive method for setting the size of the spectral window. We provide an analysis which shows that there is a window size that minimises the degree of defocusing
Keywords
adaptive signal processing; image texture; minimisation; spectral analysis; adaptive method; image plane; perspective distortion; perspective pose; shape; shape from texture; spectral analysis; spectral defocusing; spectral frequency density; spectral window; texture planes; Adaptive filters; Computer science; Covariance matrix; Frequency estimation; Image edge detection; Merging; Optimized production technology; Shape; Spectral analysis; Spectrogram;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.899600
Filename
899600
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