DocumentCode
3440177
Title
Visual line estimation from a single image of two eyes
Author
Wu, Haiyuan ; Chen, Qian ; Wada, Toshikazu
Author_Institution
Fac. of Syst. Eng., Wakayama Univ., Japan
Volume
3
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
290
Abstract
This paper describes a conic-based algorithm for estimating visual line from a single monocular image. By assuming that the visual lines of the both eyes are parallel and the iris boundaries are circles, we propose a "two-circle" algorithm that can estimate the normal vector of the supporting plane of the iris boundaries, from which the visual line is calculated. Our new method does not use either the eye corners, or some heuristic knowledge about the structure of the eye. Another advantage of our algorithm is that a camera with an unknown focal length can be used without assuming the orthographical projection. This is a very useful feature because it allows one to use a zoom lens and to change the zooming factor whenever he or she likes. It also gives one more freedom of the camera setting because keeping the camera far from the eyes is not necessary in our method. The extensive experiments over simulated images and real images demonstrate the robustness and the effectiveness of our method.
Keywords
eigenvalues and eigenfunctions; estimation theory; eye; feature extraction; image enhancement; image resolution; camera; conic based algorithm; eigen vector estimation; focal length; single monocular image; two circle algorithm; visual line estimation; zoom lens; zooming factor; Approximation algorithms; Cameras; Cities and towns; Computational modeling; Eyes; Human computer interaction; Iris; Lenses; Robustness; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1334524
Filename
1334524
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