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A New Ocular Torsion Measurement Method Using Iterative Optical Flow  

Lee InBum (Interdisciplinary Program of Medical and Biological Engineering Major, Seoul Nat'l Univ.)
Choi ByungHun (Interdisciplinary Program of Medical and Biological Engineering Major, Seoul Nat'l Univ.)
Kim SangSik (SLMed.)
Park Kwang Suk (Department of Biomedical Engineering, College of Medicine, Seoul Nat'l Univ.)
Publication Information
Journal of Biomedical Engineering Research / v.26, no.3, 2005 , pp. 133-138 More about this Journal
Abstract
This paper presents a new method for measuring ocular torsion using the optical flow. Images of the iris were cropped and transformed into rectangular images that were orientation invariant. Feature points of the iris region were selected from a reference and a target image, and the shift of each feature was calculated using the iterative Lucas-Kanade method. The feature points were selected according to the strength of the corners on the iris image. The accuracy of the algorithm was tested using printed eye images. In these images, torsion was measured with $0.15^{\circ}$ precision. The proposed method shows robustness even with the gaze directional changes and pupillary reflex environment of real-time processing.
Keywords
Ocular torsion; Optical flow;
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1 B. Lucas, and T. Kanade, 'An Iterative Image Registration Technique with an Application to Stereo Vision' , Proc. of 7th International Joint Conference on Artificial Intelligence (IJCAI), pp. 674-679, 1981
2 T. Haslwanter, 'Mathematics of Three-dimensional Eye Rotations', Vision Res., Vol.35, pp.1727-1739, 1995   DOI   PUBMED   ScienceOn
3 E. Groen, and J.E. Bos, 'Determination of ocular torsion by means of automatic pattern recognition', IEEE Trans. on Biomedical Eng., Vol. 43, pp. 471 - 479, 1996   DOI   ScienceOn
4 T.E. Hutchinson, K.P. Jr. White, W.N. Martin, KC. Reichert, and L.A. Frey, 'Human-computer interaction using eye-gaze input', IEEE Transactions on Systems, Man and Cybernetics, , Vol. 19, No.6, pp.1527 - 1534, 1989   DOI   ScienceOn
5 Xangdong Xie, R. Sudhakar, and Hanqi Zhuang, 'Realtime eye feature tracking from a video image sequence using Kalman filter', IEEE Transactions on Systems, Man and Cybernetics, Vol. 25, No. 12, pp.1568-1577, 1995   DOI   ScienceOn
6 Ying-li Tian, T. Kanade, and J.F. Cohn, 'Dual-state parametric eye tracking' , Automatic Face and Gesture Recognition, Proceedings. Fourth IEEE International Conference, pp.110 - 115, 28-30, 2000
7 S.T. Moore, T. Haslwanter, I.S. Curthoys, and S.T. Smith, 'Measurement of three dimensional eye position using image processing: a geometric approach Image Processing', Proceedings. ICIP-94., IEEE International Conference, Vol. 1 , pp. 436- 440, 13-16, 1994
8 Y. Ebisawa, 'Improved video-based eye-gaze detection method', IEEE Transactions on Instrumentation and Measurement, Vol. 47 , No.4, pp. 948 - 955, 1998   DOI   ScienceOn
9 D.W.J. Chung, M. Eizenman, B.S.K Cheung, and R.C. Frecker, 'Estimation of ocular torsion with dynamic changes in pupil size', Engineering in Medicine and Biology Society, Engineering Advances, Vol.2, pp. 924 925, 1994
10 J.P. Ivins, J. Porrill, Frisby, J.P., 'Deformable model of the human iris for measuring ocular torsion from video images Vision', Image and Signal Processing, IEEE Proceedings, Vol. 145, No.3, pp.213 - 220, 1998
11 Jianbo Shi, and Carlo Tomasi, 'Good features to track', Proc. IEEE Comput. Soc. Conf. Comput. Vision and Pattern Recogn., pp.593-600, 1994
12 T. Haslwanter, and S.T. Moore, 'A theoretical analysis of three-dimensional eye position measurement using polar cross-correlation' , IEEE Trans. on Biomedical Eng., Vol. 42, pp.1053-1061, 1995   DOI   ScienceOn
13 M.A. Phillips, P. Bitsios, E. Szabadi, et al., 'Comparison of the antidepressants reboxetine, fluvoxamine and amitriptyline upon spontaneous pupillary fluctuations in healthy human volunteers' , Psychopharmacology (Berl), Vol.149, No.1, pp.72-76, 2000   DOI   PUBMED
14 K Schreiber, T, Haslwanter, 'Improving calibration of 3-D video oculography systems', IEEE Trans. on Biomedical Eng., Vol. 51, pp. 676- 679, 2004   DOI   ScienceOn