红外头盔式眼动仪的瞳孔中心定位算法

doi:10.3969/j.issn.1001-2400.2011.03.002

Abstract

Abstract:

In order to improve pupil center localization accuracy and reduce computational complexity, firstly, we adopt star rays to get pupil counter points. Its amount of calculation is cut down drastically compared with searching in the whole figure. Secondly, we cope with some false points produced by eyelashes, eyelids and glints in the interesting area. Then, we apply a randomized method of ellipse fitting to determine the pupil center with pupil counter points. The inclusion is allowed in randomized ellipse fitting so as to ensure the accuracy of the fitting localization algorithm. And eliminating false points further increases the fitting rate. The variation of the number of pupil pixels is detected to distinguish between true-blink and pseudo-blink in dealing with continuous frames. Experiments show that the new algorithm is simple and robust.

Key words: pupil center localization, star rays, ellipse fitting, blink detection

WANG Junning；LIU Tao；HE Di；WU Yuanyuan. Pupil center localization algorithm used for the IR head-mounted eye tracker[J].J4, 2011, 38(3): 7-12+82.

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Pupil center localization algorithm used for the IR head-mounted eye tracker

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