IEICE TRANSACTIONS on Information
Precise Pupil Contour Detection Based on Minimizing the Energy of Pattern and Edge
Summary :
We propose a new method to precisely detect pupil contours in face images. Pupil contour detection is necessary for various applications using face images. It is, however, difficult to detect pupils precisely because of their weak edges or lack of edges. The proposed method is based on minimizing the energy of pattern and edge. The basic idea of this method is that the energy, which consists of the pattern and the edge energy, has to be minimized. An efficient search method is also introduced to overcome the underlying problem of efficiency in energy minimization methods. "Guide patterns" are introduced for this purpose. Moreover, to detect pupils more precisely we use an ellipse model as pupil shape in this paper. Experimental results show the effectiveness of the proposed method.
- Publication
- IEICE TRANSACTIONS on Information Vol.E87-D No.1 pp.105-112
- Publication Date
- 2004/01/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on Machine Vision Applications)
- Category
- Face
Authors
Keyword
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Mayumi YUASA, Osamu YAMAGUCHI, Kazuhiro FUKUI, "Precise Pupil Contour Detection Based on Minimizing the Energy of Pattern and Edge" in IEICE TRANSACTIONS on Information,
vol. E87-D, no. 1, pp. 105-112, January 2004, doi: .
Abstract: We propose a new method to precisely detect pupil contours in face images. Pupil contour detection is necessary for various applications using face images. It is, however, difficult to detect pupils precisely because of their weak edges or lack of edges. The proposed method is based on minimizing the energy of pattern and edge. The basic idea of this method is that the energy, which consists of the pattern and the edge energy, has to be minimized. An efficient search method is also introduced to overcome the underlying problem of efficiency in energy minimization methods. "Guide patterns" are introduced for this purpose. Moreover, to detect pupils more precisely we use an ellipse model as pupil shape in this paper. Experimental results show the effectiveness of the proposed method.
URL: https://global.ieice.org/en_transactions/information/10.1587/e87-d_1_105/_p
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@ARTICLE{e87-d_1_105,
author={Mayumi YUASA, Osamu YAMAGUCHI, Kazuhiro FUKUI, },
journal={IEICE TRANSACTIONS on Information},
title={Precise Pupil Contour Detection Based on Minimizing the Energy of Pattern and Edge},
year={2004},
volume={E87-D},
number={1},
pages={105-112},
abstract={We propose a new method to precisely detect pupil contours in face images. Pupil contour detection is necessary for various applications using face images. It is, however, difficult to detect pupils precisely because of their weak edges or lack of edges. The proposed method is based on minimizing the energy of pattern and edge. The basic idea of this method is that the energy, which consists of the pattern and the edge energy, has to be minimized. An efficient search method is also introduced to overcome the underlying problem of efficiency in energy minimization methods. "Guide patterns" are introduced for this purpose. Moreover, to detect pupils more precisely we use an ellipse model as pupil shape in this paper. Experimental results show the effectiveness of the proposed method.},
keywords={},
doi={},
ISSN={},
month={January},}
Copy
TY - JOUR
TI - Precise Pupil Contour Detection Based on Minimizing the Energy of Pattern and Edge
T2 - IEICE TRANSACTIONS on Information
SP - 105
EP - 112
AU - Mayumi YUASA
AU - Osamu YAMAGUCHI
AU - Kazuhiro FUKUI
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E87-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2004
AB - We propose a new method to precisely detect pupil contours in face images. Pupil contour detection is necessary for various applications using face images. It is, however, difficult to detect pupils precisely because of their weak edges or lack of edges. The proposed method is based on minimizing the energy of pattern and edge. The basic idea of this method is that the energy, which consists of the pattern and the edge energy, has to be minimized. An efficient search method is also introduced to overcome the underlying problem of efficiency in energy minimization methods. "Guide patterns" are introduced for this purpose. Moreover, to detect pupils more precisely we use an ellipse model as pupil shape in this paper. Experimental results show the effectiveness of the proposed method.
ER -
English
