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. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Marra, S., & Pirri, F. (2008). Eyes and cameras calibration for 3D world gaze detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5008 LNCS, pp. 216–227). https://doi.org/10.1007/978-3-540-79547-6_21
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