Robust measurement of ocular torsion using iterative Lucas-Kanade

Authors:
InBum Lee;ByungHun Choi;Kwang Suk Park
Affiliations:
Interdisciplinary Program of Medical and Biological Engineering Major, Seoul National University, Seoul, Republic of Korea;Interdisciplinary Program of Medical and Biological Engineering Major, Seoul National University, Seoul, Republic of Korea;Department of Biomedical Engineering, College of Medicine, Seoul National University, Yongon-dong, Chongno-ku, Seoul 110-799, Republic of Korea
Venue:
Computer Methods and Programs in Biomedicine
Year:
2007

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Abstract

We present a new method to measure ocular torsion using Lucas-Kanade method. After pixels of iris annulus around a pupil have been converted into Cartesian coordinates, 30 features on the iris was selected then the features were tracked using the iterative Lucas-Kanade algorithm to calculate torsional shift. The results show that a precision of the method is higher than those measured by a conventional cross-correlation and by a template matching method. The suggested method showed 0.03^o mean error with 0.15^o maximum error. Particularly, the method was robust to change of pupil size and misalignment of pupil location. Processing time was also fast enough to be implemented in a real-time system.