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

Sota Shimizu, J. W. Burdick

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトル2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008
出版社IEEE Computer Society
ページ1377-1382
ページ数6
ISBN(印刷版)9781424426799
DOI
出版ステータスPublished - 2009
外部発表はい
イベント2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008 - Bangkok, Thailand
継続期間: 2009 2 212009 2 26

出版物シリーズ

名前2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008

Other

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

ASJC Scopus subject areas

  • バイオテクノロジー
  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学

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