DocumentCode
2077799
Title
Variable window Gabor filters and their use in focus and correspondence
Author
Xiong, Yalin ; Shafer, Steven A.
Author_Institution
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
1994
fDate
21-23 Jun 1994
Firstpage
668
Lastpage
671
Abstract
There are two basic problems concerned with Gabor filterings that we will address in this paper. One is the window size problem, in which we will adopt a set of 2D variable window Gabor filters, and compare its performance with those of fixed window filters. We will show that the variable window scheme is more adaptive to image contents. The other problem we will address is the stability of amplitude and phase information resulting from convolving the filters with images. We will extend Fleet´s 1D phase stability analysis to 2D phase and amplitude stability analysis based upon the assumption of local resemblance of filter outputs to a single sinusoid. Applications on focus quality measurement and 2D correspondence are described, and the results demonstrate improvements of performance by detecting unstable information using the criterion developed
Keywords
feature extraction; image processing; stability; 1D phase stability analysis; 2D correspondence; amplitude; correspondence; focus; local resemblance; phase; stability; variable window Gabor filters; window size problem; Feature extraction; Image processing; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
Conference_Location
Seattle, WA
ISSN
1063-6919
Print_ISBN
0-8186-5825-8
Type
conf
DOI
10.1109/CVPR.1994.323781
Filename
323781
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