Abstract
Gaze tracking is a promising research area with application that goes from advanced human machine interaction systems, to human attention processes studying, modeling and use in cognitive vision fields. In this paper we propose a novel approach for the calibration and use of a head mounted dual eye gaze tracker. Key aspects are a robust pupil tracking algorithm based on prediction from infrared LED purkinje image position, and a new gaze localization method based on trifocal geometry considerations.
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Marra, S., Pirri, F. (2008). Eyes and Cameras Calibration for 3D World Gaze Detection. In: Gasteratos, A., Vincze, M., Tsotsos, J.K. (eds) Computer Vision Systems. ICVS 2008. Lecture Notes in Computer Science, vol 5008. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79547-6_21
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DOI: https://doi.org/10.1007/978-3-540-79547-6_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79546-9
Online ISBN: 978-3-540-79547-6
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