Abstract | ||
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Eye-gaze tracking (EGT) is an important problem with a long history and various applications. However, state-of-the-art geometric vision-based techniques still suffer from major limitations, especially (1) the requirement for calibration of a static relationship between eye camera and scene, and (2) a parallax error that occurs when the depth of the scene varies. This paper introduces a novel concept for EGT that overcomes these limitations using corneal imaging. Based on the observation that the cornea reflects the surrounding scene over a wide field of view, it is shown how to extract that information and determine the point of gaze (PoG) directly in an eye image. To realize this, a closed-form solution is developed to obtain the gaze-reflection point (GRP), where light from the PoG reflects at the corneal surface into a camera. This includes compensation for the individual offset between optical and visual axis. Quantitative and qualitative evaluation shows that the strategy achieves considerable accuracy and successfully supports depth-varying environments. The novel approach provides important practical advantages, including reduced intrusiveness and complexity, and support for flexible dynamic setups, non-planar scenes and outdoor application. |
Year | DOI | Venue |
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2013 | 10.1109/ACPR.2013.84 | ACPR |
Keywords | DocType | ISSN |
eye image,non-planar scene,novel approach,corneal images,eye camera,gaze-reflection point,corneal imaging,surrounding scene,gaze estimation,important problem,corneal surface,important practical advantage,computer vision,calibration | Conference | 0730-6512 |
Citations | PageRank | References |
9 | 0.53 | 25 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
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Christian Nitschke | 1 | 176 | 12.87 |
Atsushi Nakazawa | 2 | 507 | 34.25 |
Toyoaki Nishida | 3 | 1097 | 196.19 |