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Published February 2009 | Published
Book Section - Chapter Open

Eccentricity estimator for wide-angle fovea sensor by FMI descriptor approach

Abstract

This paper proposes a method for estimating eccentricity that corresponds to an incident angle to a fovea sensor. The proposed method applies Fourier-Mellin Invariant descriptor for estimating rotation, scale, and translation, by taking both geometrical distortion and non-uniform resolution of a space-variant image by the fovea sensor into account. The following 2 points are focused in this paper. One is to use multi-resolution images computed by discrete wavelet transform for reducing noise caused by foveation properly. Another is to use a variable window function (although the window function is generally used for reducing DFT leakage caused by both ends of a signal.) for changing an effective field of view (FOV) in order not to sacrifice high accuracy. The simulation compares the root mean square (RMS) of the foveation noise between uniform and non-uniform resolutions, when a resolution level and a FOV level are changed, respectively. Experimental results show that the proposed method is consistent with the wide-angle space-variant image by the fovea sensor, i.e., it does not sacrifice high accuracy in the central FOV.

Additional Information

© 2008 IEEE. Manuscript received February 15, 2008. This work was supported mainly by Wind & Biomass Energy R&D and Information Center. The authors thank to Dr. Hao Jiang, California Institute of Technology, for his many helps.

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