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Carnegie Mellon Robotics Institute

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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.

Notes

Text Reference

Yalin Xiong and Steven Shafer, "Variable Window Gabor Filters and Their Use in Focus and Correspondence," Proceedings of the 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '94), June, 1994, pp. 668 - 671.

BibTeX Reference

@inproceedings{Xiong_1994_4105,
   author = "Yalin Xiong and Steven Shafer",
   title = "Variable Window Gabor Filters and Their Use in Focus and Correspondence",
   booktitle = "Proceedings of the 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '94)",
   pages = "668 - 671",
   month = "June",
   year = "1994",
}

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