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 language | English |
|---|---|
| Title of host publication | 2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008 |
| Pages | 1377-1382 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2008 |
| Externally published | Yes |
| Event | 2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008 - Bangkok, Thailand Duration: 2009 Feb 21 → 2009 Feb 26 |
Other
| Other | 2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008 |
|---|---|
| Country | Thailand |
| City | Bangkok |
| Period | 09/2/21 → 09/2/26 |
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ASJC Scopus subject areas
- Biotechnology
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
Cite this
Eccentricity estimator for wide-angle fovea sensor by FMI descriptor approach. / Shimizu, Sota; Burdick, J. W.
2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008. 2008. p. 1377-1382 4913201.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Eccentricity estimator for wide-angle fovea sensor by FMI descriptor approach
AU - Shimizu, Sota
AU - Burdick, J. W.
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=70349274454&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349274454&partnerID=8YFLogxK
U2 - 10.1109/ROBIO.2009.4913201
DO - 10.1109/ROBIO.2009.4913201
M3 - Conference contribution
SN - 9781424426799
SP - 1377
EP - 1382
BT - 2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008
ER -