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

Sota Shimizu, J. W. Burdick

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008
PublisherIEEE Computer Society
Pages1377-1382
Number of pages6
ISBN (Print)9781424426799
DOIs
Publication statusPublished - 2009 Jan 1
Event2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008 - Bangkok, Thailand
Duration: 2009 Feb 212009 Feb 26

Publication series

Name2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008

Other

Other2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008
CountryThailand
CityBangkok
Period09/2/2109/2/26

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ASJC Scopus subject areas

  • Biotechnology
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Shimizu, S., & Burdick, J. W. (2009). Eccentricity estimator for wide-angle fovea sensor by FMI descriptor approach. In 2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008 (pp. 1377-1382). [4913201] (2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008). IEEE Computer Society. https://doi.org/10.1109/ROBIO.2009.4913201