Eccentricity estimator for wide-angle fovea vision sensor

Sota Shimizu, Joel W. Burdick

Research output: Contribution to journalArticle

Abstract

This paper proposes a method for estimating eccentricity that corresponds to an incident angle to a fovea sensor. The proposed method uses Fourier-Mellin Invariant descriptor to estimate rotation, scale, and translation, by taking both geometrical distortion and non-uniform resolution of a space-variant image from the fovea sensor into account. The following 2 points are focused in this paper. One is to use multi-resolution images 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. The result shows the proposed method is suitable for the wide-angle space-variant image by the fovea sensor, and, moreover, it does not sacrifice high accuracy in the central FOV. Another simulation result examines a reliable resolution level.

Original languageEnglish
Pages (from-to)2059-2064
Number of pages6
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume74
Issue number8
Publication statusPublished - 2008 Aug
Externally publishedYes

Fingerprint

Sensors
Discrete wavelet transforms
Image resolution
Discrete Fourier transforms

Keywords

  • Bio-mimetics
  • Eccentricity estimator
  • Fourier transform
  • Fovea sensor
  • Image processing
  • Pattern recognition
  • Space-Variant image
  • Wavelet transform

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Cite this

Eccentricity estimator for wide-angle fovea vision sensor. / Shimizu, Sota; Burdick, Joel W.

In: Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, Vol. 74, No. 8, 08.2008, p. 2059-2064.

Research output: Contribution to journalArticle

@article{887bb84ee053499db55fec5314d02b38,
title = "Eccentricity estimator for wide-angle fovea vision sensor",
abstract = "This paper proposes a method for estimating eccentricity that corresponds to an incident angle to a fovea sensor. The proposed method uses Fourier-Mellin Invariant descriptor to estimate rotation, scale, and translation, by taking both geometrical distortion and non-uniform resolution of a space-variant image from the fovea sensor into account. The following 2 points are focused in this paper. One is to use multi-resolution images 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. The result shows the proposed method is suitable for the wide-angle space-variant image by the fovea sensor, and, moreover, it does not sacrifice high accuracy in the central FOV. Another simulation result examines a reliable resolution level.",
keywords = "Bio-mimetics, Eccentricity estimator, Fourier transform, Fovea sensor, Image processing, Pattern recognition, Space-Variant image, Wavelet transform",
author = "Sota Shimizu and Burdick, {Joel W.}",
year = "2008",
month = "8",
language = "English",
volume = "74",
pages = "2059--2064",
journal = "Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C",
issn = "0387-5024",
publisher = "Japan Society of Mechanical Engineers",
number = "8",

}

TY - JOUR

T1 - Eccentricity estimator for wide-angle fovea vision sensor

AU - Shimizu, Sota

AU - Burdick, Joel W.

PY - 2008/8

Y1 - 2008/8

N2 - This paper proposes a method for estimating eccentricity that corresponds to an incident angle to a fovea sensor. The proposed method uses Fourier-Mellin Invariant descriptor to estimate rotation, scale, and translation, by taking both geometrical distortion and non-uniform resolution of a space-variant image from the fovea sensor into account. The following 2 points are focused in this paper. One is to use multi-resolution images 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. The result shows the proposed method is suitable for the wide-angle space-variant image by the fovea sensor, and, moreover, it does not sacrifice high accuracy in the central FOV. Another simulation result examines a reliable resolution level.

AB - This paper proposes a method for estimating eccentricity that corresponds to an incident angle to a fovea sensor. The proposed method uses Fourier-Mellin Invariant descriptor to estimate rotation, scale, and translation, by taking both geometrical distortion and non-uniform resolution of a space-variant image from the fovea sensor into account. The following 2 points are focused in this paper. One is to use multi-resolution images 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. The result shows the proposed method is suitable for the wide-angle space-variant image by the fovea sensor, and, moreover, it does not sacrifice high accuracy in the central FOV. Another simulation result examines a reliable resolution level.

KW - Bio-mimetics

KW - Eccentricity estimator

KW - Fourier transform

KW - Fovea sensor

KW - Image processing

KW - Pattern recognition

KW - Space-Variant image

KW - Wavelet transform

UR - http://www.scopus.com/inward/record.url?scp=55349085797&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=55349085797&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:55349085797

VL - 74

SP - 2059

EP - 2064

JO - Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C

JF - Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C

SN - 0387-5024

IS - 8

ER -